Twitter Gas Prices.ipynb

{
 "cells": [
  {
   "attachments": {
    "nat%20gas.jpg": {
     "image/jpeg": "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"
    }
   },
   "cell_type": "markdown",
   "id": "b42efa35",
   "metadata": {},
   "source": [
    "# Natural Gas\n",
    "\n",
    "![nat%20gas.jpg](attachment:nat%20gas.jpg)\n",
    "\n",
    "Natural gas is a fossil energy source that formed deep beneath the earth's surface. Natural gas contains many different compounds. The largest component of natural gas is methane, a compound with one carbon atom and four hydrogen atoms (CH4). Natural gas also contains smaller amounts of natural gas liquids (NGLs, which are also hydrocarbon gas liquids), and nonhydrocarbon gases, such as carbon dioxide and water vapor. We use natural gas as a fuel and to make materials and chemicals.\n",
    "\n",
    "## The Henry Hub pipeline\n",
    "The Henry Hub pipeline is the pricing point for natural gas futures on the New York Mercantile Exchange. The NYMEX contract for deliveries at Henry Hub began trading in 1990 and is deliverable 18 months in the future. The settlement prices at Henry Hub are used as benchmarks for the entire North American natural gas market and parts of the global liquid natural gas (LNG) market.\n",
    "\n",
    "Henry Hub is an important market clearing pricing concept because it is based on the actual supply and demand of natural gas as a stand-alone commodity. Other natural gas markets like Europe have fragmented hub pricing points. This means natural gas prices are often indexed to crude oil, which can have very different supply and demand factors affecting its price. Attempts are being made to develop European hub pricing points in the Netherlands and the UK, but this has proved difficult so far due to competition from national hubs. Asian natural gas markets are even more fragmented and have no defined hub pricing point, although Singapore would like to serve this regional role. Consequently, all Asian natural gas prices are either indexed to crude oil or linked to Henry Hub."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96899370",
   "metadata": {},
   "source": [
    "## My approach\n",
    "- First we extract tweets realated to the topic from twitter \n",
    "- Second we develop an RNN to get the value of the sentiment of a tweet\n",
    "- Third we develop a model to use the sentiment extracted of the day and predict the Gas price value using it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "936eddfa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import snscrape.modules.twitter as sntwitter\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5177d518",
   "metadata": {},
   "source": [
    "## First Tweets extractor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2141d404",
   "metadata": {},
   "outputs": [],
   "source": [
    "def tweets_scraper(topic):\n",
    "    # Creating list to append tweet data to\n",
    "    attributes_container = []\n",
    "    # Using TwitterSearchScraper to scrape data and append tweets to list\n",
    "    for i,tweet in enumerate(sntwitter.TwitterSearchScraper(topic).get_items()):\n",
    "        if i>150:\n",
    "            break\n",
    "        attributes_container.append([tweet.user.username, tweet.date, tweet.likeCount, tweet.sourceLabel, tweet.content])\n",
    "    \n",
    "    # Creating a dataframe to load the list\n",
    "    tweets_df = pd.DataFrame(attributes_container, columns=[\"User\", \"Date Created\", \"Number of Likes\", \"Source of Tweet\", \"Tweet\"])\n",
    "    return tweets_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "45ca404d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(151, 5)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "today_tweets = tweets_scraper(\"Natural Gas\")\n",
    "today_tweets.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "eb767d09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>User</th>\n",
       "      <th>Date Created</th>\n",
       "      <th>Number of Likes</th>\n",
       "      <th>Source of Tweet</th>\n",
       "      <th>Tweet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ngachoffat</td>\n",
       "      <td>2022-08-15 10:14:16+00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>IFTTT</td>\n",
       "      <td>markets: Russia’s payment to Ukraine for natur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>peterg</td>\n",
       "      <td>2022-08-15 10:13:48+00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>@charlesarthur @A_BoxOfRain So I understand ga...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>jlgoncalez</td>\n",
       "      <td>2022-08-15 10:13:16+00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>Twitter Web App</td>\n",
       "      <td>Senex supplies $1B boost to natural gas https:...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>markets</td>\n",
       "      <td>2022-08-15 10:10:05+00:00</td>\n",
       "      <td>2</td>\n",
       "      <td>SocialFlow</td>\n",
       "      <td>Russia’s payment to Ukraine for natural gas tr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JanLeschke</td>\n",
       "      <td>2022-08-15 10:09:20+00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>Twitter Web App</td>\n",
       "      <td>@listentomesonny @orangesteel @EuromaidanPress...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         User              Date Created  Number of Likes     Source of Tweet  \\\n",
       "0  ngachoffat 2022-08-15 10:14:16+00:00                0               IFTTT   \n",
       "1      peterg 2022-08-15 10:13:48+00:00                0  Twitter for iPhone   \n",
       "2  jlgoncalez 2022-08-15 10:13:16+00:00                0     Twitter Web App   \n",
       "3     markets 2022-08-15 10:10:05+00:00                2          SocialFlow   \n",
       "4  JanLeschke 2022-08-15 10:09:20+00:00                0     Twitter Web App   \n",
       "\n",
       "                                               Tweet  \n",
       "0  markets: Russia’s payment to Ukraine for natur...  \n",
       "1  @charlesarthur @A_BoxOfRain So I understand ga...  \n",
       "2  Senex supplies $1B boost to natural gas https:...  \n",
       "3  Russia’s payment to Ukraine for natural gas tr...  \n",
       "4  @listentomesonny @orangesteel @EuromaidanPress...  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "today_tweets.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9bdd0da1",
   "metadata": {},
   "source": [
    "## IMDB based classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ad8eab25",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tensorflow_datasets as tfds \n",
    "from tensorflow.keras.preprocessing.text import Tokenizer\n",
    "from tensorflow.keras.preprocessing.sequence import pad_sequences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "50ab8610",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mDownloading and preparing dataset 80.23 MiB (download: 80.23 MiB, generated: Unknown size, total: 80.23 MiB) to ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0...\u001b[0m\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "274110372b654323aa62f3ef47264a7b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dl Completed...: 0 url [00:00, ? url/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ecc8fda215924ced8cbdaf1f813cd6d4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dl Size...: 0 MiB [00:00, ? MiB/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating splits...:   0%|          | 0/3 [00:00<?, ? splits/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating train examples...:   0%|          | 0/25000 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Shuffling ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0.incomplete4UKFZX/imdb_reviews-train.tfrecord*...…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating test examples...:   0%|          | 0/25000 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Shuffling ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0.incomplete4UKFZX/imdb_reviews-test.tfrecord*...:…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Generating unsupervised examples...:   0%|          | 0/50000 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Shuffling ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0.incomplete4UKFZX/imdb_reviews-unsupervised.tfrec…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mDataset imdb_reviews downloaded and prepared to ~/tensorflow_datasets/imdb_reviews/plain_text/1.0.0. Subsequent calls will reuse this data.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "imdb, info = tfds.load('imdb_reviews', with_info=True, as_supervised=True)"
   ]
  },
  {
   "attachments": {
    "imdb.jpg": {
     "image/jpeg": "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"
    }
   },
   "cell_type": "markdown",
   "id": "1288b177",
   "metadata": {},
   "source": [
    "## Word about the data\n",
    "![imdb.jpg](attachment:imdb.jpg)\n",
    "\n",
    "We will be using a dataset of 25,000 IMDB movie reviews, each of which has a sentiment label (positive/negative). Each review is preprocessed and encoded as a sequence of word indices (integers). For simplicity, words are indexed by overall frequency in the dataset, for instance the integer \"3\" encodes the 3rd most frequent word appearing in all reviews. This allows for quick filtering operations such as: \"only consider the top 10,000 most common words, but eliminate the top 20 most common words\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "cdac5ebd",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data, test_data = imdb['train'], imdb['test']\n",
    "train_sentenses = []\n",
    "train_labels = []\n",
    "test_sentenses = []\n",
    "test_labels = []\n",
    "for s,l in train_data:\n",
    "    train_sentenses.append(str(s.numpy()))\n",
    "    train_labels.append(l.numpy())\n",
    "for s,l in test_data:\n",
    "    test_sentenses.append(str(s.numpy()))\n",
    "    test_labels.append(l.numpy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "0c9066a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'b\"This was an absolutely terrible movie. Don\\'t be lured in by Christopher Walken or Michael Ironside. Both are great actors, but this must simply be their worst role in history. Even their great acting could not redeem this movie\\'s ridiculous storyline. This movie is an early nineties US propaganda piece. The most pathetic scenes were those when the Columbian rebels were making their cases for revolutions. Maria Conchita Alonso appeared phony, and her pseudo-love affair with Walken was nothing but a pathetic emotional plug in a movie that was devoid of any real meaning. I am disappointed that there are movies like this, ruining actor\\'s like Christopher Walken\\'s good name. I could barely sit through it.\"'"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_sentenses[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "02d1d59c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_labels[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "04170638",
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer = Tokenizer(num_words=10000, oov_token=\"<OOV>\")\n",
    "tokenizer.fit_on_texts(train_sentenses)\n",
    "word_index = tokenizer.word_index\n",
    "\n",
    "train_seq = tokenizer.texts_to_sequences(train_sentenses)\n",
    "pad_train = pad_sequences(train_seq, maxlen=280, truncating='post')\n",
    "\n",
    "test_seq = tokenizer.texts_to_sequences(test_sentenses)\n",
    "pad_test = pad_sequences(test_seq, maxlen=280, truncating='post')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "0d1ae05e",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = tf.keras.Sequential([\n",
    "    tf.keras.layers.Embedding(10000, 64, input_length=280), \n",
    "    tf.keras.layers.Conv1D(64,10,activation='relu'),\n",
    "    tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(64, return_sequences=True)),\n",
    "    tf.keras.layers.LSTM(32),\n",
    "    tf.keras.layers.Dense(64, activation='relu'),\n",
    "    tf.keras.layers.Dropout(0.4),\n",
    "    tf.keras.layers.Dense(1, activation='sigmoid')\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "bc1a0283",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_4\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "embedding_4 (Embedding)      (None, 280, 64)           640000    \n",
      "_________________________________________________________________\n",
      "conv1d_3 (Conv1D)            (None, 271, 64)           41024     \n",
      "_________________________________________________________________\n",
      "bidirectional_5 (Bidirection (None, 271, 128)          66048     \n",
      "_________________________________________________________________\n",
      "lstm_9 (LSTM)                (None, 32)                20608     \n",
      "_________________________________________________________________\n",
      "dense_8 (Dense)              (None, 64)                2112      \n",
      "_________________________________________________________________\n",
      "dropout_4 (Dropout)          (None, 64)                0         \n",
      "_________________________________________________________________\n",
      "dense_9 (Dense)              (None, 1)                 65        \n",
      "=================================================================\n",
      "Total params: 769,857\n",
      "Trainable params: 769,857\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "4e2da963",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "8b49c2fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "782/782 [==============================] - 253s 320ms/step - loss: 0.4769 - accuracy: 0.7726 - val_loss: 0.6030 - val_accuracy: 0.6085\n",
      "Epoch 2/5\n",
      "782/782 [==============================] - 247s 316ms/step - loss: 0.3240 - accuracy: 0.8692 - val_loss: 0.3751 - val_accuracy: 0.8330\n",
      "Epoch 3/5\n",
      "782/782 [==============================] - 247s 315ms/step - loss: 0.2654 - accuracy: 0.8953 - val_loss: 0.3402 - val_accuracy: 0.8434\n",
      "Epoch 4/5\n",
      "782/782 [==============================] - 247s 316ms/step - loss: 0.1813 - accuracy: 0.9333 - val_loss: 0.3863 - val_accuracy: 0.8588\n",
      "Epoch 5/5\n",
      "782/782 [==============================] - 247s 316ms/step - loss: 0.1113 - accuracy: 0.9624 - val_loss: 0.4559 - val_accuracy: 0.8507\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(pad_train, np.array(train_labels), epochs=5,\n",
    "          validation_data=(pad_test, np.array(test_labels)), verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "aae9cc4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save(\"tweet_classifier.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "f95a0e96",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10000, 64)\n"
     ]
    }
   ],
   "source": [
    "# visualizing Embeddings\n",
    "e = model.layers[0]\n",
    "weights = e.get_weights()[0]\n",
    "print(weights.shape)\n",
    "reversed_word_index = dict([(v, k) for k, v in word_index.items()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "6a280ed7",
   "metadata": {},
   "outputs": [],
   "source": [
    "out_v = open('vecs.tsv', 'w', encoding='utf-8')\n",
    "out_m = open('meta.tsv', 'w', encoding='utf-8')\n",
    "for word_num in range(1, 10000):\n",
    "    word = reversed_word_index[word_num]\n",
    "    embeddings = weights[word_num]\n",
    "    out_m.write(word + '\\n')\n",
    "    out_v.write('/t'.join([str(x) for x in embeddings]) + '\\n')\n",
    "out_v.close()\n",
    "out_m.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "b2118518",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_graph(history, string):\n",
    "    plt.plot(history.history[string])\n",
    "    plt.plot(history.history['val_' + string])\n",
    "    plt.xlabel('Epochs')\n",
    "    plt.ylabel(string)\n",
    "    plt.legend([string, 'val_' + string])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "6170aefe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_graph(history, \"accuracy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "32ed0769",
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict_tweet(review):\n",
    "    rev_seq = tokenizer.texts_to_sequences(review)\n",
    "    print(rev_seq)\n",
    "    pad_rev = pad_sequences(rev_seq, maxlen=280, truncating='post')\n",
    "    return np.interp(model.predict([[pad_rev]]), [0, 1], [-1, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "fecca057",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1265, 2567, 1, 25, 881, 6, 29, 1, 696, 6, 329, 3, 12, 81, 29, 6417, 16, 2, 8311]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[-0.22639084]])"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predict_tweet([\"natural gas prices are expected to be reallylow due to war and this will be devastating for the economy\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "287d6639",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[103, 2443, 13, 3288, 1, 81, 2229, 65, 7, 88, 16, 2, 8311]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[0.9139874]])"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predict_tweet([\"It's believed that oil prices will rise which is great for the economy \"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92adbd9e",
   "metadata": {},
   "source": [
    "## Time Series Model\n",
    "\n",
    "In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2abf1eee",
   "metadata": {},
   "source": [
    "## EDA for the main dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "6b619903",
   "metadata": {},
   "outputs": [],
   "source": [
    "ts_df = pd.read_csv(\"dataset/data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "068f35fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Day</th>\n",
       "      <th>Price</th>\n",
       "      <th>Sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>20150105</td>\n",
       "      <td>3.22</td>\n",
       "      <td>-0.534077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>20150106</td>\n",
       "      <td>2.98</td>\n",
       "      <td>-0.337025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>20150107</td>\n",
       "      <td>3.08</td>\n",
       "      <td>-0.065357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>20150108</td>\n",
       "      <td>2.92</td>\n",
       "      <td>-0.326590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>20150109</td>\n",
       "      <td>2.96</td>\n",
       "      <td>-0.374404</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0       Day  Price  Sentiment\n",
       "0           0  20150105   3.22  -0.534077\n",
       "1           1  20150106   2.98  -0.337025\n",
       "2           2  20150107   3.08  -0.065357\n",
       "3           3  20150108   2.92  -0.326590\n",
       "4           4  20150109   2.96  -0.374404"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "a41d3c52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Day</th>\n",
       "      <th>Price</th>\n",
       "      <th>Sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1874.000000</td>\n",
       "      <td>1.874000e+03</td>\n",
       "      <td>1874.000000</td>\n",
       "      <td>1874.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>936.500000</td>\n",
       "      <td>2.018235e+07</td>\n",
       "      <td>2.918623</td>\n",
       "      <td>-0.299520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>541.121521</td>\n",
       "      <td>2.119460e+04</td>\n",
       "      <td>1.050903</td>\n",
       "      <td>0.192107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.015010e+07</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.819287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>468.250000</td>\n",
       "      <td>2.016103e+07</td>\n",
       "      <td>2.390000</td>\n",
       "      <td>-0.435230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>936.500000</td>\n",
       "      <td>2.018082e+07</td>\n",
       "      <td>2.790000</td>\n",
       "      <td>-0.313156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1404.750000</td>\n",
       "      <td>2.020062e+07</td>\n",
       "      <td>3.070000</td>\n",
       "      <td>-0.158241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1873.000000</td>\n",
       "      <td>2.022050e+07</td>\n",
       "      <td>23.860000</td>\n",
       "      <td>0.693440</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0           Day        Price    Sentiment\n",
       "count  1874.000000  1.874000e+03  1874.000000  1874.000000\n",
       "mean    936.500000  2.018235e+07     2.918623    -0.299520\n",
       "std     541.121521  2.119460e+04     1.050903     0.192107\n",
       "min       0.000000  2.015010e+07     0.000000    -0.819287\n",
       "25%     468.250000  2.016103e+07     2.390000    -0.435230\n",
       "50%     936.500000  2.018082e+07     2.790000    -0.313156\n",
       "75%    1404.750000  2.020062e+07     3.070000    -0.158241\n",
       "max    1873.000000  2.022050e+07    23.860000     0.693440"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "d64413db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0    0\n",
       "Day           0\n",
       "Price         0\n",
       "Sentiment     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "3b63deeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "ts_df['Day'] = ts_df[\"Day\"].apply(lambda x: datetime.datetime.strptime(str(x), '%Y%m%d'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "55bbf3ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Day</th>\n",
       "      <th>Price</th>\n",
       "      <th>Sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>3.22</td>\n",
       "      <td>-0.534077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2015-01-06</td>\n",
       "      <td>2.98</td>\n",
       "      <td>-0.337025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2015-01-07</td>\n",
       "      <td>3.08</td>\n",
       "      <td>-0.065357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2015-01-08</td>\n",
       "      <td>2.92</td>\n",
       "      <td>-0.326590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2015-01-09</td>\n",
       "      <td>2.96</td>\n",
       "      <td>-0.374404</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0        Day  Price  Sentiment\n",
       "0           0 2015-01-05   3.22  -0.534077\n",
       "1           1 2015-01-06   2.98  -0.337025\n",
       "2           2 2015-01-07   3.08  -0.065357\n",
       "3           3 2015-01-08   2.92  -0.326590\n",
       "4           4 2015-01-09   2.96  -0.374404"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ceb759b",
   "metadata": {},
   "source": [
    "## Data visualization and preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "843c2616",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "avg = sum(list(ts_df.Price))/len(list(ts_df.Price))\n",
    "sen = list(ts_df.Sentiment)\n",
    "day = ts_df.Day\n",
    "price = list(ts_df.Price)\n",
    "for i in range (len(sen)):\n",
    "    sen[i] = -(sen[i]*avg)+2\n",
    "plt.figure(figsize=(12, 6))\n",
    "l1 = plt.plot(day, sen, lw = 2, color='green', alpha=0.5, linestyle='dashed')\n",
    "l2 = plt.plot(day, price, lw = 2.5, color='blue', alpha=0.5)\n",
    "plt.title('Sentiment VS Price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "07770795",
   "metadata": {},
   "outputs": [],
   "source": [
    "def singleStepSampler(df, window):\n",
    "    xRes = []\n",
    "    yRes = []\n",
    "    for i in range(0, len(df)-window):\n",
    "        res = []\n",
    "        for j in range(0, window):\n",
    "            res.append([ts_df.Price[i+j], ts_df.Sentiment[i+j]])\n",
    "        res.append([0, ts_df.Sentiment[i+window]])\n",
    "        xRes.append(res)\n",
    "        yRes.append(ts_df.Price[i+window])\n",
    "    tf.convert_to_tensor(xRes)\n",
    "    return (tf.convert_to_tensor(xRes), tf.convert_to_tensor(yRes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "c7d9f32f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(TensorShape([1575, 21, 2]), TensorShape([279, 21, 2]))"
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SPLIT = 0.85\n",
    "xVal, yVal = singleStepSampler(ts_df, 20)\n",
    "xTrain = xVal[:int(SPLIT*len(xVal))]\n",
    "yTrain = yVal[:int(SPLIT*len(yVal))]\n",
    "xTest = xVal[int(SPLIT*len(xVal)):]\n",
    "yTest = yVal[int(SPLIT*len(yVal)):]\n",
    "(xTrain.shape, xTest.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35bdaedd",
   "metadata": {},
   "source": [
    "## Modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "ac02a1ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = tf.keras.Sequential([\n",
    "    tf.keras.layers.Conv1D(32, (3), input_shape=(21, 2)),\n",
    "    tf.keras.layers.MaxPool1D(pool_size=3, strides=(1), padding=\"valid\"),\n",
    "    tf.keras.layers.LSTM(256, return_sequences=True),\n",
    "    tf.keras.layers.Flatten(),\n",
    "    tf.keras.layers.Dense(128, activation=\"relu\"),\n",
    "    tf.keras.layers.Dense(1, activation=\"linear\")\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "id": "6e405e43",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(loss='mean_absolute_error',optimizer=tf.keras.optimizers.Adam(), metrics=['mse', 'mae'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "db6d598d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "50/50 [==============================] - 3s 31ms/step - loss: 0.3756 - mse: 0.6534 - mae: 0.3756\n",
      "Epoch 2/50\n",
      "50/50 [==============================] - 1s 29ms/step - loss: 0.2541 - mse: 0.4391 - mae: 0.2541\n",
      "Epoch 3/50\n",
      "50/50 [==============================] - 1s 29ms/step - loss: 0.2053 - mse: 0.3921 - mae: 0.2053\n",
      "Epoch 4/50\n",
      "50/50 [==============================] - 1s 29ms/step - loss: 0.1791 - mse: 0.3405 - mae: 0.1791\n",
      "Epoch 5/50\n",
      "50/50 [==============================] - 1s 29ms/step - loss: 0.1584 - mse: 0.3036 - mae: 0.1584\n",
      "Epoch 6/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1497 - mse: 0.2809 - mae: 0.1497\n",
      "Epoch 7/50\n",
      "50/50 [==============================] - 2s 31ms/step - loss: 0.1338 - mse: 0.2637 - mae: 0.1338\n",
      "Epoch 8/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1315 - mse: 0.2455 - mae: 0.1315\n",
      "Epoch 9/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1250 - mse: 0.2376 - mae: 0.1250\n",
      "Epoch 10/50\n",
      "50/50 [==============================] - 2s 31ms/step - loss: 0.1357 - mse: 0.2458 - mae: 0.1357\n",
      "Epoch 11/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1212 - mse: 0.2167 - mae: 0.1212\n",
      "Epoch 12/50\n",
      "50/50 [==============================] - 1s 30ms/step - loss: 0.1378 - mse: 0.2372 - mae: 0.1378\n",
      "Epoch 13/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1156 - mse: 0.2140 - mae: 0.1156\n",
      "Epoch 14/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1140 - mse: 0.2193 - mae: 0.1140\n",
      "Epoch 15/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1104 - mse: 0.2136 - mae: 0.1104\n",
      "Epoch 16/50\n",
      "50/50 [==============================] - 1s 30ms/step - loss: 0.1101 - mse: 0.2194 - mae: 0.1101\n",
      "Epoch 17/50\n",
      "50/50 [==============================] - 1s 30ms/step - loss: 0.1132 - mse: 0.2077 - mae: 0.1132\n",
      "Epoch 18/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1181 - mse: 0.2189 - mae: 0.1181\n",
      "Epoch 19/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1105 - mse: 0.2056 - mae: 0.1105\n",
      "Epoch 20/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1126 - mse: 0.2085 - mae: 0.1126\n",
      "Epoch 21/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1211 - mse: 0.2085 - mae: 0.1211\n",
      "Epoch 22/50\n",
      "50/50 [==============================] - 1s 30ms/step - loss: 0.1045 - mse: 0.2077 - mae: 0.1045\n",
      "Epoch 23/50\n",
      "50/50 [==============================] - 1s 29ms/step - loss: 0.1161 - mse: 0.2063 - mae: 0.1161\n",
      "Epoch 24/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1024 - mse: 0.2003 - mae: 0.1024\n",
      "Epoch 25/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.0995 - mse: 0.1994 - mae: 0.0995\n",
      "Epoch 26/50\n",
      "50/50 [==============================] - 1s 30ms/step - loss: 0.1047 - mse: 0.2061 - mae: 0.1047\n",
      "Epoch 27/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1119 - mse: 0.2046 - mae: 0.1119\n",
      "Epoch 28/50\n",
      "50/50 [==============================] - 2s 30ms/step - loss: 0.1017 - mse: 0.2016 - mae: 0.1017\n",
      "Epoch 29/50\n",
      "50/50 [==============================] - 2s 31ms/step - loss: 0.1022 - mse: 0.2030 - mae: 0.1022\n",
      "Epoch 30/50\n",
      "50/50 [==============================] - 2s 31ms/step - loss: 0.1082 - mse: 0.2037 - mae: 0.1082\n",
      "Epoch 31/50\n",
      "50/50 [==============================] - 2s 31ms/step - loss: 0.1049 - mse: 0.1936 - mae: 0.1049\n",
      "Epoch 32/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.1005 - mse: 0.2000 - mae: 0.1005\n",
      "Epoch 33/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.0998 - mse: 0.1973 - mae: 0.0998\n",
      "Epoch 34/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.0946 - mse: 0.1974 - mae: 0.0946\n",
      "Epoch 35/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.0952 - mse: 0.1978 - mae: 0.0952\n",
      "Epoch 36/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.1033 - mse: 0.1884 - mae: 0.1033\n",
      "Epoch 37/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.1122 - mse: 0.1998 - mae: 0.1122\n",
      "Epoch 38/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.0951 - mse: 0.1909 - mae: 0.0951\n",
      "Epoch 39/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.0981 - mse: 0.1927 - mae: 0.0981\n",
      "Epoch 40/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.1010 - mse: 0.1930 - mae: 0.1010\n",
      "Epoch 41/50\n",
      "50/50 [==============================] - 2s 33ms/step - loss: 0.1018 - mse: 0.1961 - mae: 0.1018\n",
      "Epoch 42/50\n",
      "50/50 [==============================] - 2s 31ms/step - loss: 0.1040 - mse: 0.1983 - mae: 0.1040\n",
      "Epoch 43/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.0971 - mse: 0.1886 - mae: 0.0971\n",
      "Epoch 44/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.1044 - mse: 0.1899 - mae: 0.1044\n",
      "Epoch 45/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.0995 - mse: 0.1939 - mae: 0.0995\n",
      "Epoch 46/50\n",
      "50/50 [==============================] - 2s 31ms/step - loss: 0.0954 - mse: 0.1891 - mae: 0.0954\n",
      "Epoch 47/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.0967 - mse: 0.1941 - mae: 0.0967\n",
      "Epoch 48/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.1073 - mse: 0.1920 - mae: 0.1073\n",
      "Epoch 49/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.1005 - mse: 0.1935 - mae: 0.1005\n",
      "Epoch 50/50\n",
      "50/50 [==============================] - 2s 32ms/step - loss: 0.0947 - mse: 0.1798 - mae: 0.0947\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(xTrain, yTrain, epochs=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "14cb9502",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(history.history['loss'])\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('loss')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "4ea7e594",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save(\"time series.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "f5fcfd51",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_values = []\n",
    "for item in xTest:\n",
    "    model_values.append(model.predict(np.array([item])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "7e8ec971",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dafr = pd.DataFrame(data={'actual': yTest, 'Modelled': [item[0][0] for item in model_values]})\n",
    "plt.figure(figsize=(16, 8))\n",
    "plt.title(\"Predicted values vs True values\")\n",
    "plt.plot(dafr)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "739777e8",
   "metadata": {},
   "source": [
    "## Extracting Sentiment for new predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "id": "bd53adff",
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets = today_tweets.Tweet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "872008a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    markets: Russia’s payment to Ukraine for natur...\n",
       "1    @charlesarthur @A_BoxOfRain So I understand ga...\n",
       "2    Senex supplies $1B boost to natural gas https:...\n",
       "3    Russia’s payment to Ukraine for natural gas tr...\n",
       "4    @listentomesonny @orangesteel @EuromaidanPress...\n",
       "Name: Tweet, dtype: object"
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "bb47140b",
   "metadata": {},
   "outputs": [],
   "source": [
    "sen_model = tf.keras.models.load_model(\"tweet_classifier.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "c745e7ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict_tweet(review):\n",
    "    rev_seq = tokenizer.texts_to_sequences(review)\n",
    "    print(rev_seq)\n",
    "    pad_rev = pad_sequences(rev_seq, maxlen=280, truncating='post')\n",
    "    return np.interp(sen_model.predict([[pad_rev]]), [0, 1], [-1, 1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "id": "c24283a1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1, 1, 1, 6, 1, 16, 1265, 2567, 1, 12, 3232, 48, 836, 145, 206, 719, 62, 104, 4, 1, 17, 4, 738, 3288, 1, 6875, 136, 1, 790, 1015, 1]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[-0.99269938]])"
      ]
     },
     "execution_count": 247,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predict_tweet([tweets.to_numpy()[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "e29257dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "def avg_sentiment(df):\n",
    "    np = df.to_numpy()\n",
    "    _sum = 0\n",
    "    for i in np:\n",
    "        _sum += predict_tweet([i])\n",
    "    avg = _sum/len(np)\n",
    "    return avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "id": "fa549c21",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1, 1, 1, 6, 1, 16, 1265, 2567, 1, 12, 3232, 48, 836, 145, 206, 719, 62, 104, 4, 1, 17, 4, 738, 3288, 1, 6875, 136, 1, 790, 1015, 1]]\n",
      "[[1, 4, 1, 37, 11, 397, 2567, 7, 1335, 5, 9097, 3, 452, 1589, 1, 37, 2315, 1, 99, 3173, 9097, 1, 46, 33, 564, 1, 241, 38, 4147, 1854, 3, 5319, 13, 1265, 2567, 1, 752, 262, 3694, 14, 2986, 32, 1767, 64, 1379, 97, 50, 1500]]\n",
      "[[1, 9812, 1, 8961, 6, 1265, 2567, 1, 790, 1015, 1]]\n",
      "[[1, 1, 6, 1, 16, 1265, 2567, 1, 12, 3232, 48, 836, 145, 206, 719, 62, 104, 4, 1, 17, 4, 738, 3288, 1, 6875, 136, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 1265, 2567, 38, 126, 7423, 1, 2299, 48, 6380, 1, 16, 1788, 2567, 17, 50, 3136, 16, 473, 2, 8514, 7057, 1, 9523, 529, 3, 135, 3136, 28, 78, 1, 1, 16, 112, 155, 95, 217, 323, 5, 2, 1788, 2567, 13, 14]]\n",
      "[[1, 236, 1265, 2567, 84, 48, 78, 348, 16, 1, 16, 12, 1, 48, 78, 2871, 15, 74, 67, 2299, 15, 193, 1265, 2567, 1, 48, 80, 916, 1220, 3925, 2757, 100, 77, 94, 1, 38, 5433]]\n",
      "[[262, 554, 8895, 2223, 5, 4909, 1, 13, 58, 527, 22, 350, 1265, 2567, 42, 4, 892, 1, 3945, 1590, 262, 7713, 17, 35, 8895, 6054, 1385, 1, 4828, 13, 7, 1643, 16, 2, 712, 859, 53, 1, 790, 1015, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[5858, 246, 14, 6623, 32, 1, 1, 1, 3, 1, 1, 5, 1, 1, 1, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[2, 1, 1, 1, 5731, 14, 6623, 33, 1, 2, 1, 32, 1, 1, 7558, 3, 1, 262, 1, 17, 2, 1, 1079, 5, 2, 1, 215, 72, 355, 2, 7554, 6, 1, 32, 70, 6216, 1, 1, 1, 5858, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 1, 1, 6623, 2, 1, 281, 5, 1, 5858, 17, 1, 960, 262, 2219, 8625, 3, 17, 3157, 9, 262, 3439, 1, 1, 1, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 2444, 48, 1470, 5, 1, 4663, 1, 1, 16, 1, 3, 1, 371, 1443, 9, 2, 1, 7057, 5, 1, 1, 2444, 48, 2282, 5, 4663, 1, 1, 1, 16, 523, 1, 1, 1, 2444, 7, 1034, 9, 3288, 3, 1265, 2567]]\n",
      "[[458, 2075, 6241, 28, 652, 6, 8961, 70, 3288, 3, 2567, 371, 122, 2, 232, 281, 15, 4739, 16, 1, 859, 53, 9, 262, 2657, 1, 1, 1, 2444, 1, 1, 1, 1, 3288, 1, 790, 1015, 1]]\n",
      "[[3528, 8487, 714, 1132, 5237, 4784, 1, 8753, 7172, 1, 2309, 1, 2309, 1, 301, 1, 181, 1, 1, 1, 790, 1015, 1]]\n",
      "[[3502, 1936, 1, 1, 2567, 1188, 1, 2, 1, 2567, 7, 881, 6, 2579, 2, 1, 8266, 33, 2, 133, 5, 12, 281, 17, 89, 2567, 7931, 7501, 9, 2, 89, 6527, 5, 1, 337, 53, 33, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 7581, 1, 1132, 176, 4687, 1, 1, 1, 409, 963, 1, 6292, 1, 1, 1, 1, 1, 1835, 1, 3371, 1, 1, 1, 1265, 2567, 1]]\n",
      "[[6650, 2, 1, 1, 33, 4663, 1, 4852, 1, 1, 25, 736, 86, 5433, 6, 6525, 4351, 3288, 3, 1265, 2567, 1, 3, 1034, 1, 1, 32, 88, 8949, 6, 539, 3, 17, 346, 467]]\n",
      "[[51, 7, 1, 1, 1429, 16, 1, 1, 4593, 1, 262, 2223, 7, 4, 1, 1526, 5204, 3, 1, 3393, 1, 1530, 2453, 6, 6380, 1265, 2567, 42, 1, 1, 2567, 6, 1, 1159, 1, 42, 53, 22, 262, 1, 2223, 3, 23, 79, 16, 4, 884, 1, 1, 790, 1015, 1]]\n",
      "[[1893, 1, 1, 815, 38, 688, 3232, 1, 1, 1, 301, 700, 1, 1, 236, 236, 1, 1, 2309, 301, 1, 1, 301, 236, 3288, 7505, 1, 301, 467, 1, 1, 236, 480, 1, 1, 301, 467, 1, 1, 1, 790, 1015, 1, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1835, 3371, 1, 1, 3288, 1, 790, 1015, 1]]\n",
      "[[1, 1265, 2567, 1, 1, 17, 236, 1, 1, 2567, 1, 9, 46, 301, 1, 1767, 301, 236, 1, 2412, 1, 5155, 301, 236, 1, 1003, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 1, 1265, 2567, 1, 1, 1, 1, 1804, 1, 1, 1, 790, 1015, 1]]\n",
      "[[63, 159, 2319, 22, 2, 159, 755, 966, 1, 3, 51, 10, 826, 16, 1, 5, 2, 1, 1265, 2567, 1, 100, 195, 6, 337, 19, 390, 23, 182, 6, 1150, 13, 1743, 3724, 6611, 16, 149, 36, 174, 44, 7, 35, 3541, 2771, 1, 790, 1015, 1]]\n",
      "[[9125, 148, 1, 369, 7582, 1265, 2567, 8096, 1825, 1, 17, 1138, 22, 126, 2963, 1, 1, 790, 1015, 1]]\n",
      "[[9097, 9, 2, 2315, 15, 4, 221, 94, 887, 6, 69, 91, 75, 58, 1102, 2, 1, 22, 1265, 2567, 1242, 1, 1729, 558, 7, 1, 2567, 2253, 2430, 5212, 1, 2950, 1, 1, 31, 485, 2, 1151, 5870, 1, 1, 1, 51, 25, 131, 2473, 1, 790, 1015, 1]]\n",
      "[[1, 965, 3, 2066, 39, 975, 6, 4, 8099, 13, 330, 9284, 22, 418, 3, 610, 6, 2487, 10, 46, 499, 4, 684, 16, 12, 103, 453, 1265, 2567, 39, 4, 7677, 3, 4787, 825, 19, 11, 28, 6, 479, 12, 3899, 126, 87, 11, 5036]]\n",
      "[[1, 1, 1, 1, 941, 179, 1, 502, 6, 2250, 26, 3288, 3, 2567, 6, 2375, 3085, 1, 236, 131, 1, 1, 2, 1854, 5, 1265, 2567, 3288, 1, 7123, 1, 769, 660, 6, 192, 1, 3288, 3, 1, 2567, 16, 4, 2092, 139, 34, 1, 1, 19, 5433, 474, 61]]\n",
      "[[55, 8549, 14, 348, 9, 7959, 1043, 1, 71, 8549, 7905, 1, 8549, 2567, 1, 1265, 2567, 882, 1078, 1, 1043, 1, 1, 2567, 7905, 1, 2567, 1, 1043, 1, 81, 1197, 1, 1, 1, 3612, 1, 9, 2, 712, 1043, 1, 174, 28, 4, 1112, 1]]\n",
      "[[1, 1265, 2567, 1, 199, 2, 1, 5271, 3, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 9, 2567, 1, 1, 1101, 1, 1, 1, 1261, 1, 1, 1, 1, 1, 1, 5930, 1, 1101, 1, 1, 1, 1, 1, 3, 1, 4932, 2, 4416, 7, 377, 5, 1265, 2567]]\n",
      "[[1, 790, 1015, 1]]\n",
      "[[1, 1, 6, 1, 16, 1265, 2567, 1, 12, 3232, 270, 145, 206, 719, 62, 104, 4, 1, 17, 4, 738, 3288, 1, 2504, 1, 1, 790, 1015, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 4845, 1, 2, 178, 7, 1247, 5816, 94, 1893, 1, 6, 350, 6235, 6, 343, 12, 3447, 42, 2354, 70, 5466, 2839, 3, 1, 33, 2684, 3974, 3320, 299, 1, 8524, 5, 5433, 79, 1, 22, 70, 470, 716, 6, 903, 17, 1265, 2567]]\n",
      "[[2, 179, 7, 3984, 6650, 4, 3874, 6, 1993, 1729, 2539, 696, 6, 4663, 1265, 2567, 1, 1, 790, 1015, 1]]\n",
      "[[1, 4798, 1835, 1, 2658, 3288, 1, 1265, 2567, 1132, 6835, 1, 1, 790, 1015, 1, 3006, 1, 1, 1, 3801, 2307, 3438, 1, 1, 2315, 1, 1, 1, 1, 1, 1, 1]]\n",
      "[[1, 4798, 1835, 1, 2658, 3288, 1, 1265, 2567, 1132, 6835, 1, 1, 790, 1015, 1, 3006, 1, 1, 1, 3801, 2307, 3438, 1, 3782, 1, 1, 1, 1, 1, 1, 1]]\n",
      "[[1, 1, 2, 1142, 1, 1, 6, 1733, 558, 301, 1, 38, 1265, 2567, 1, 86, 262, 6216, 236, 8549, 9324, 1, 38, 8549, 9310, 1252, 381, 6, 6984]]\n",
      "[[1, 4798, 1835, 1, 2658, 3288, 1, 1265, 2567, 1132, 6835, 1, 1, 790, 1015, 1, 3006, 1, 1, 1, 3801, 2307, 3438, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3782, 1, 1]]\n",
      "[[301, 236, 22, 1, 1, 1, 7625, 2446, 1, 1, 22, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[33, 8852, 2, 6653, 5, 1, 1, 199, 1, 3, 1, 2, 1, 1, 31, 2, 1, 16, 1, 2567, 145, 2, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[315, 1265, 2567, 1, 3, 251, 6, 6040, 9812, 25, 1979, 1, 6, 9440, 3, 1, 1, 6, 2, 7437, 1, 790, 1015, 1, 2885, 1]]\n",
      "[[1265, 4774, 25, 2995, 16, 413, 113, 9, 1151, 2783, 44, 48, 78, 4, 3574, 658, 122, 2, 1729, 1, 696, 6, 2, 1781, 1, 5, 8549, 3288, 3, 1265, 2567, 1, 790, 1015, 1]]\n",
      "[[9097, 1, 25, 1, 187, 2, 1, 53, 76, 1, 9, 112, 1, 9, 2, 89, 323, 5, 1, 866, 1265, 2567, 1, 9, 2375, 72, 480, 207, 15, 315, 15, 9, 2, 170, 819, 9, 1, 139, 8549, 1, 72, 53, 76, 346, 207, 15, 315, 1, 1, 790, 1015, 1, 1, 790, 1015, 1]]\n",
      "[[1265, 2567, 1, 1, 678, 9310, 4461, 6, 1, 3, 1, 1, 790, 1015, 1]]\n",
      "[[4669, 2125, 1, 9, 2, 678, 1, 28, 78, 7573, 2, 2125, 5, 2, 1606, 13, 1, 2, 1, 2062, 114, 2391, 76, 2, 1, 1044, 3005, 1, 5392, 33, 1, 8549, 4522, 3, 1, 1265, 2567, 4522, 377, 66, 1, 790, 1015, 1, 1]]\n",
      "[[4669, 2125, 1, 9, 2, 678, 1, 28, 78, 7573, 2, 2125, 5, 2, 1606, 13, 1, 2, 1, 2062, 114, 2391, 76, 2, 1, 1044, 3005, 1, 5392, 33, 1, 8549, 4522, 3, 1, 1265, 2567, 4522, 377, 66, 1, 790, 1015, 1]]\n",
      "[[1, 42, 1143, 99, 582, 114, 1, 3, 97, 4, 861, 17, 5433, 6, 6642, 1, 1265, 2567, 3000]]\n",
      "[[1, 1, 8589, 33, 1947, 2, 1, 265, 38, 1094, 10, 1137, 29, 783, 1265, 2567]]\n",
      "[[1, 1347, 1, 7, 24, 52, 16, 2, 2816, 1, 28, 625, 13, 1, 1, 7, 787, 1, 1, 403, 1, 38, 1265, 2567, 1, 1, 1, 1, 31, 1434, 1, 7079, 7, 1, 1, 1, 582, 1347, 1, 94, 67, 2, 4729, 13, 182, 10]]\n",
      "[[1, 48, 2, 339, 4147, 1, 3005, 1, 9, 2, 179, 32, 43, 122, 1, 1804, 10, 7, 30, 5, 458, 6241, 22, 12, 1037, 13, 1, 77, 5, 94, 4053, 38, 94, 3288, 3, 1265, 2567, 1612, 1, 113, 1, 32, 2565, 1470, 236, 155, 1, 790, 1015, 1]]\n",
      "[[1, 59, 579, 1, 1, 864, 374, 1, 1965, 1713, 1132, 1, 4564, 43, 2877, 131, 2347, 16, 5410, 1265, 2567, 1, 3, 131, 8359, 83, 23, 182, 1668, 42, 4, 5452, 122, 131, 215]]\n",
      "[[1, 1, 236, 1, 1, 16, 7581, 1, 9181, 9069, 2567, 1, 1, 6, 1265, 2567, 1, 1, 790, 1015, 1]]\n",
      "[[1, 2012, 6621, 1170, 6312, 9, 1265, 2567, 2076, 1, 790, 1015, 1, 1, 1, 8400, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1265, 2567, 7, 4429, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 7700, 1, 1132, 1, 1044, 1, 1, 1, 409, 963, 1, 6292, 1, 1, 1, 1, 1, 1835, 1, 3371, 1, 1, 1, 1265, 2567, 1]]\n",
      "[[1, 1, 59, 579, 1, 1, 36, 83, 23, 28, 82, 13, 43, 2877, 2, 2347, 5, 5410, 1265, 2567, 3, 3288, 9, 2, 663, 5, 4, 1, 748, 1, 5, 131, 6657, 2514, 6, 1880, 5109, 13, 1211, 317, 1, 60, 81, 1880, 172, 1, 181, 22, 2, 1, 52, 2027]]\n",
      "[[1, 1, 1, 3045, 1, 1, 1431, 1049, 1, 1, 1, 4205, 1, 1, 1, 1, 1, 1, 1, 1, 6279, 9, 1, 1, 1, 1, 1, 5, 1265, 2567, 38, 5433, 67, 2, 1788, 6380, 744, 6, 29, 2994, 1, 8860, 1044, 5, 971, 1, 2367, 9, 85, 725, 61, 30, 744, 5433, 1, 790, 1015, 1]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[9, 2, 691, 3232, 5, 7081, 1, 48, 1, 2, 4855, 5, 187, 236, 5, 94, 1, 1, 599, 7156, 1, 1, 5, 1265, 2567, 1, 4715, 4715, 3, 1, 1, 5, 2658, 3288, 1, 4715, 4715, 1, 1, 790, 1015, 1]]\n",
      "[[656, 5, 1, 9, 2848, 2567, 1, 1, 9, 1, 15, 5, 6835, 1, 1729, 1, 2567, 1, 1, 790, 1015, 1]]\n",
      "[[1, 582, 1, 2, 895, 91, 83, 23, 1, 2, 2367, 1854, 5, 1265, 2567, 206, 1, 1, 1, 1, 39, 1, 1, 37, 13, 311, 58, 3198, 716, 1, 1, 280, 3198, 1094, 306, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1743, 2567, 6380, 38, 5433, 1, 1, 48, 6538, 6, 2936, 26, 2289, 651, 17, 1, 9, 2761, 5, 1, 4817, 5, 1, 337, 53, 33, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1265, 2567, 99, 342, 613, 181, 2, 1180, 5, 1, 38, 2, 1, 1612, 12, 7, 51, 75, 25, 407, 6, 2503, 2, 368, 5, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 7, 13, 2, 179, 7, 736, 6, 2209, 1729, 470, 92, 159, 8161, 206, 2, 159, 978, 7, 9, 1, 1265, 2567, 3, 3528, 8549, 1, 9, 1, 3, 81, 7716, 4, 1224, 2913, 6979, 46, 87, 10, 7, 24, 1, 1654, 1993, 1729, 5655, 1, 1, 790, 1015, 1]]\n",
      "[[3285, 1, 1, 39, 3288, 8549, 3, 1265, 2567, 2919, 952, 1, 1, 410, 1, 1, 9, 2, 1584, 16, 1, 4, 6139, 1203, 1, 4, 6139, 73, 1, 790, 1015, 1]]\n",
      "[[1, 1, 6, 1, 16, 1265, 2567, 1, 12, 3232, 48, 836, 145, 206, 719, 62, 104, 4, 1, 17, 4, 738, 3288, 1, 6875, 136, 1, 790, 1015, 1]]\n",
      "[[1, 1, 6, 1, 16, 1265, 2567, 1, 12, 3232, 48, 836, 145, 206, 719, 62, 104, 4, 1, 17, 4, 738, 3288, 1, 6875, 136, 1, 790, 1015, 1]]\n",
      "[[1, 1, 971, 2170, 1074, 2567, 1, 9, 3980, 1477, 1, 790, 1015, 1, 4, 1074, 1265, 2567, 1, 48, 78, 1984, 33, 1, 971, 9, 3980, 1477, 5, 1, 1, 19, 2, 1729, 1, 303, 3483, 1, 32, 2, 3980, 7, 134, 9, 3784, 1729, 1, 2567, 1, 790, 1015, 1]]\n",
      "[[178, 1, 1168, 1, 3108, 1804, 1, 1265, 2567, 1, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 6, 1, 16, 1265, 2567, 1, 12, 3232, 48, 836, 145, 206, 719, 62, 104, 4, 1, 17, 4, 738, 3288, 1, 6875, 136, 1, 790, 1015, 1]]\n",
      "[[1, 1, 26, 154, 6384, 1, 1, 17, 1743, 9812, 5, 1265, 2567, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 2717, 1, 2079, 22, 1, 38, 1265, 2567, 1, 89, 4305, 2, 1, 1, 563, 1827, 467, 512, 1, 1, 1, 1, 752, 1, 1, 1]]\n",
      "[[1, 1, 1, 369, 2347, 1434, 1729, 769, 709, 46, 5, 131, 335, 949, 254, 36, 212, 70, 678, 978, 38, 4, 1265, 2567, 4522, 3528, 678, 4522, 8549, 3472, 678, 4522, 1947, 1, 1, 4522, 3, 1686, 70, 978, 17, 257, 85, 3, 79, 146, 6, 73, 769, 362, 45, 369, 2347]]\n",
      "[[1, 291, 1, 301, 10, 1688, 2299, 6, 1, 696, 6, 3528, 1, 104, 1, 236, 10, 1688, 2299, 6, 4750, 38, 8549, 16, 1, 4962, 236, 1022, 1612, 5865, 22, 1265, 2567]]\n",
      "[[1, 678, 7, 1, 38, 2307, 3, 2299, 37, 103, 3528, 3, 1265, 2567]]\n",
      "[[1, 7, 168, 6, 3959, 9449, 1457, 1, 1, 5, 1788, 1265, 2567, 22, 356, 5, 2, 1180, 9, 94, 1, 138, 87, 1, 1, 7, 1, 5126, 3, 4, 6900, 240, 11, 2, 67, 417, 1560, 138, 2, 1, 463, 665, 3223, 6, 2002, 1, 46, 1, 790, 1015, 1]]\n",
      "[[1, 5928, 16, 4, 2436, 6657, 22, 1265, 2567, 1959, 9, 12, 978, 1, 790, 1015, 1]]\n",
      "[[1265, 2567, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1743, 2567, 6380, 38, 5433, 1, 1, 48, 6538, 6, 2936, 26, 2289, 651, 17, 1, 9, 2761, 5, 1, 4817, 5, 1, 337, 53, 33, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 83, 23, 68, 105, 711, 2567, 4952, 51, 1854, 6, 827, 1265, 2567, 49, 10, 14, 1, 7048, 134, 28, 6, 1004, 2367, 5245, 65, 7, 57, 1049, 8470, 235, 5433, 1, 1]]\n",
      "[[2, 1993, 1729, 5655, 3, 1, 1, 608, 9307, 69, 3288, 4739, 7653, 15, 50, 1, 3, 5466, 1192, 4461, 38, 2567, 65, 58, 29, 1, 2885, 1, 38, 6241, 142, 15, 5433, 42, 15, 1, 1265, 2567, 236, 236]]\n",
      "[[3288, 7, 271, 6, 29, 4, 1078, 1112, 5, 7437, 1419, 5, 3447, 15, 2, 3625, 2347, 5, 3285, 2, 1674, 2242, 1309, 226, 2391, 76, 1265, 2567, 301, 236, 1, 790, 1015, 1]]\n",
      "[[1, 1265, 2567, 714, 1, 1, 1, 1, 3358, 1326, 1, 1713, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 6, 1, 16, 1265, 2567, 1, 12, 3232, 48, 836, 145, 206, 719, 62, 104, 4, 1, 17, 4, 738, 3288, 1, 6875, 136]]\n",
      "[[55, 1, 6, 1, 1, 7, 134, 1265, 2567, 19, 10, 7, 77, 3477, 6, 8149, 1, 5469, 138, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 1, 1, 1, 783, 1265, 2567, 6, 2269, 4600, 81, 133, 57, 1, 5410, 1, 7, 4840, 1, 1099, 6, 1, 17, 4, 315, 1, 1, 1265, 2567, 144, 29, 348, 16, 1074, 1, 3, 16, 1, 6216]]\n",
      "[[1, 1, 1, 24, 219, 7, 13, 2, 4164, 2460, 5, 1, 7, 38, 6550, 1, 5, 1265, 2567, 24, 1, 24, 43, 2, 1, 10, 1, 4739, 16, 2567]]\n",
      "[[1, 2567, 1, 1, 1, 1265, 2567, 1, 1, 1, 2567, 1, 16, 2567, 1, 5, 1, 2567, 1, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[9043, 2609, 1, 81, 4287, 2444, 53, 76, 1265, 2567, 1, 790, 1015, 1, 1, 790, 1015, 1]]\n",
      "[[1265, 2567, 1, 9, 2375, 2229, 15, 4, 902, 1511, 1, 57, 6984, 9, 2, 5413, 3, 1, 4739, 9, 4, 2367, 13, 7, 470, 1, 38, 4, 6380, 1, 1, 790, 1015, 1, 9, 1, 1]]\n",
      "[[1, 1, 6, 1, 16, 1265, 2567, 1, 12, 3232, 48, 836, 145, 206, 719, 62, 104, 4, 1, 17, 4, 738, 3288, 1, 6875, 136, 1, 790, 1015, 1]]\n",
      "[[23, 577, 1153, 2, 2031, 5, 414, 19, 23, 58, 208, 2285, 91, 23, 8249, 6, 10, 2333, 790, 7560, 2285, 1, 1, 1, 1, 1, 1729, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 6312, 9, 1265, 2567, 371, 7, 5199, 378, 1, 31, 2, 1, 1, 1729, 1947, 3, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 91, 128, 1, 2, 678, 1, 97, 1265, 2567, 9440, 1, 81, 2, 1, 1, 8522, 1, 1542, 1, 3, 1, 2250, 178, 2567, 1949, 2367, 1125, 1, 51, 45, 5410, 1, 1, 790, 1015, 1]]\n",
      "[[262, 1, 1, 28, 78, 706, 1, 9, 1, 65, 7, 30, 5, 2, 3853, 2243, 6, 3259, 2, 1, 89, 1, 2084, 535, 5, 2, 511, 81, 368, 1261, 1, 9, 273, 5, 1265, 2567, 38, 1, 337, 53, 1, 1, 790, 1015, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 1, 3528, 48, 122, 1, 7506, 2376, 1947, 3, 1, 577, 1, 57, 42, 3841, 806, 32, 31, 3528, 58, 2269, 1, 317, 7394, 5, 2391, 678, 4739, 13, 1, 58, 95, 29, 1, 9, 1265, 2567, 9310, 1, 7, 1, 1, 371, 32, 1, 1, 9, 1]]\n",
      "[[1, 7486, 49, 75, 25, 68, 267, 6, 1, 2, 1, 1, 95, 1265, 2567, 1, 1, 31, 28, 6, 29, 7492, 1392, 16, 1, 195, 3798, 1, 1, 505, 673, 2, 67, 4828, 7, 1, 7, 487, 55, 2, 1, 7, 1, 6, 10]]\n",
      "[[2260, 5, 1, 1265, 2567, 81, 24, 728, 2, 7450, 4361, 33, 1, 139, 369, 1, 1, 1490, 1136, 1, 4570, 753, 1, 6994, 1, 32, 2, 1993, 1, 16, 1, 950, 1, 1661, 1, 790, 1015, 1]]\n",
      "[[1501, 1, 2567, 3871, 16, 6135, 1, 1, 1, 790, 1015, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1729, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 3, 1668, 1827, 7506, 7, 68, 476, 5155, 1265, 2567, 1, 25, 5816, 1, 1, 3, 1854, 1, 736, 1, 46, 5, 781, 1, 6657, 2161, 837, 1, 1, 3687, 6, 1, 3687, 6, 1122, 1555, 17, 1, 1, 2094, 6, 827, 46, 1]]\n",
      "[[1, 2, 2367, 1854, 5, 1265, 2567, 2, 2347, 5, 1265, 2567, 254, 990, 23, 34, 58, 1, 2, 2347, 5, 2567, 16, 2623, 1956, 7, 4, 9474, 2, 4828, 7, 53, 9097, 1, 3, 334, 2567, 1, 1, 790, 1015, 1]]\n",
      "[[104, 2367, 501, 1, 1, 9307, 1, 4282, 678, 9307, 1, 1, 9307, 1, 1265, 2567, 7410, 608]]\n",
      "[[1, 236, 2309, 1265, 2567, 1, 1, 1, 1, 2017, 1, 2463, 1265, 2567, 8000, 1, 16, 349, 3893, 1, 790, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 1, 11, 174, 105, 499, 4, 1, 5511, 16, 1265, 2567]]\n",
      "[[1, 1, 1, 11, 2256, 783, 1265, 2567, 6, 3612, 63, 314, 2344, 155, 607, 34, 429, 574, 2, 2567, 1, 1, 78, 1979, 35, 5410, 523, 16, 176, 155, 1, 78, 5392, 33, 35, 126, 1, 1, 1530, 11, 368, 63, 523, 6, 1276, 57, 1, 3, 2080, 1825, 16, 3447, 1, 790, 1015, 1]]\n",
      "[[8175, 817, 1, 1, 1, 1, 2, 7597, 5, 1, 1, 3136, 7, 551, 24, 2, 1, 1, 9, 2, 1265, 2567, 2367]]\n",
      "[[159, 4, 687, 1265, 2567, 1, 9, 1259, 4618, 14, 431, 6, 29, 1787, 217, 701, 155, 607, 19, 10, 948, 629, 1, 5, 1, 4550, 909, 1, 30, 5, 2, 1, 92, 987, 1, 502, 2, 4550, 1206, 1, 790, 1015, 1]]\n",
      "[[1, 1, 9, 2375, 2229, 15, 4, 902, 3, 2270, 1511, 1, 57, 6984, 9, 2, 5413, 3, 1, 4739, 9, 4, 2367, 13, 7, 470, 1, 38, 4, 6380, 1]]\n",
      "[[2299, 48, 5150, 1, 2, 4963, 1, 9, 1, 15, 2, 1354, 4896, 6, 1, 94, 1, 22, 1788, 1265, 2567, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 1, 2, 1265, 2567, 3, 1, 22, 1424, 1, 131, 1, 6, 176, 1, 16, 1, 2253, 3, 1, 22, 1424, 228, 336, 1, 96, 122, 2, 1, 357]]\n",
      "[[1650, 1, 1, 1, 1804, 1, 1265, 2567, 1, 1, 3821, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1265, 2567, 1, 9, 2375, 2229, 15, 4, 902, 3, 2270, 1511, 1, 57, 6984, 9, 2, 5413, 3, 1, 956, 1, 790, 1015, 1]]\n",
      "[[122, 346, 8849, 3196, 399, 5266, 28, 1071, 57, 9, 262, 1, 135, 5266, 192, 15, 195, 15, 1, 155, 6, 996, 181, 1, 9484, 4861, 65, 1, 2, 2390, 1, 182, 6, 1, 3288, 1265, 2567, 1, 3, 3196, 1, 6, 2936, 2, 2816, 1, 790, 1015, 1]]\n",
      "[[139, 1648, 142, 15, 2299, 3, 1, 1, 45, 4, 3447, 1729, 3152, 1, 7, 6, 3959, 9449, 1457, 1, 1, 5, 1788, 1265, 2567, 22, 356, 5, 2, 1180, 9, 94, 1, 1, 790, 1015, 1]]\n",
      "[[1, 131, 349, 81, 1502, 12, 3447, 15, 1265, 2567, 1, 6786, 1, 790, 1015, 1]]\n",
      "[[1, 1, 3, 4446, 1, 2249, 3288, 2567, 1, 5487, 1265, 2567, 1, 16, 8758, 1612, 301, 236, 467, 9069, 781, 1, 1, 790, 1015, 1]]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1265, 2567, 1, 9, 2375, 2241, 15, 4, 902, 1511, 1, 57, 2, 1, 6984, 3, 1, 2567, 1, 13, 71, 2480, 78, 1, 1, 2375, 1, 790, 1015, 1]]\n",
      "[[1, 1, 9, 191, 9, 2, 1, 689, 8311, 2721, 48, 421, 35, 681, 4387, 9, 2, 5466, 3691, 2, 4755, 1854, 5, 1788, 1265, 2567, 6, 2, 1259, 48, 2202, 4, 1054, 3447, 51, 81, 2721, 1220, 1022, 1, 5260, 414, 19, 83, 24, 4287, 98]]\n",
      "[[1, 1, 1830, 667, 45, 1302, 1, 7576, 1, 5, 1, 8549, 1, 1520, 5, 94, 3288, 892, 5, 94, 1265, 2567, 1, 5, 94, 1, 1, 9659, 5, 94, 1299, 1, 5433, 150, 7576, 32, 219, 1713, 480, 1, 292, 5, 1, 1339, 1265, 4774, 599, 1729, 1, 1, 1]]\n",
      "[[1, 1, 1, 236, 10, 14, 4, 2137, 6, 1, 1265, 2567, 1, 13, 1502, 2467, 163, 6, 83, 17, 1, 1, 678, 1, 7, 3923, 33, 1, 665, 46, 1, 262, 1, 25, 1, 1, 2, 1848, 1, 6, 192, 5155, 126, 1, 5981, 1]]\n",
      "[[1, 1395, 675, 1180, 5, 1, 1, 15, 4, 1, 2567, 65, 1, 2, 2567, 38, 15, 554, 1, 15, 2, 4096, 1265, 2567, 1, 577, 29, 1, 3, 128, 24, 6977, 1444, 1, 9, 191, 1, 7, 1, 348, 9, 975, 1, 6, 276, 46, 975, 1, 790, 1015, 1]]\n",
      "[[1, 1265, 2567, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]\n",
      "[[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2188, 1, 1, 26, 154, 6384, 1, 1, 17, 1743, 9812, 5, 1265, 2567, 1, 790, 1015, 1]]\n",
      "[[51, 4, 1, 7, 10, 284, 13, 7400, 7, 24, 13, 2654, 17, 2, 595, 5, 1265, 2567, 12, 693, 68, 1, 73, 32, 207]]\n",
      "[[1, 301, 1, 558, 3, 32, 4, 2818, 210, 49, 2, 4257, 1, 1335, 2041, 4, 1, 99, 214, 8666, 351, 150, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1265, 2567, 1, 9, 2375, 2229, 15, 4, 902, 3, 2270, 1511, 1, 57, 6984, 9, 2, 5413, 3, 1, 4739, 9, 4, 2367, 13, 7, 470, 1, 38, 4, 6380, 1, 1, 790, 1015, 1]]\n",
      "[[1, 2044, 1265, 2567, 81, 29, 1643, 16, 368, 381, 3688, 1, 1, 1, 1635, 1, 71, 1984, 1, 8849, 1, 1, 1, 5, 2567, 9, 2, 332, 2044, 9, 1, 1, 81, 29, 1643, 6, 368, 1265, 2567, 9, 4364, 381, 281, 1729, 5797, 1, 1, 48, 304, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 236, 1, 4091, 45, 2375, 34, 71, 78, 1, 241, 38, 8549, 3288, 33, 783, 1265, 2567, 38, 5433, 306, 5, 43, 7988, 6, 1434, 87, 39, 23, 34, 1, 182, 6, 97, 2, 4461, 15, 954, 49, 34, 71, 34, 1, 29, 9, 2, 2751, 34, 25, 9, 2017, 5433]]\n",
      "[[1, 1, 1, 7659, 1, 113, 145, 9880, 1729, 1, 2016, 178, 32, 1, 790, 1015, 1, 1, 790, 1015, 1, 1, 1, 1, 9097, 1, 790, 1015, 1]]\n",
      "[[5155, 9, 113, 7, 54, 4571, 75, 64, 24, 28, 8549, 3288, 1265, 2567, 3, 1, 206, 10]]\n",
      "[[1265, 2567, 1, 9, 2375, 2229, 15, 4, 902, 3, 2270, 1511, 1, 57, 6984, 9, 2, 5413, 3, 1, 4739, 9, 4, 2367, 13, 7, 470, 1, 38, 4, 6380, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 7659, 1, 113, 145, 9880, 1729, 1, 2016, 178, 32, 1, 790, 1015, 1, 1, 790, 1015, 1, 1, 1, 1, 9097, 1, 790, 1015, 1]]\n",
      "[[1, 1, 22, 2156, 1265, 2567, 1, 1, 1, 48, 2590, 4, 1501, 1998, 22, 2, 1, 5, 1, 9601, 1, 1841, 6, 2, 2334, 44, 7, 4, 2716, 993, 6, 1, 1, 1, 86, 9097, 16, 1, 9601, 1, 790, 1015, 1]]\n",
      "[[1, 9, 2485, 32, 1, 1, 1132, 3108, 1132, 46, 5, 2485, 235, 1, 1, 1520, 6406, 176, 4900, 1, 1, 1, 1854, 1, 1, 32, 1, 1, 1132, 3108, 1132, 4687, 1, 1, 1, 5, 1265, 2567, 1, 1, 790, 1015, 1, 1, 1265, 2567, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 83, 23, 125, 91, 77, 1265, 2567, 2375, 1, 38, 5433, 2, 1180, 7, 2166]]\n",
      "[[1265, 2567, 1, 9, 2375, 2229, 15, 4, 902, 1511, 1, 57, 6984, 9, 2, 5413, 3, 1, 4739, 9, 4, 2367, 13, 7, 470, 1, 38, 4, 6380, 1, 1, 790, 1015, 1]]\n",
      "[[1247, 91, 9679, 1, 1, 415, 96, 6, 2022, 65, 415, 96, 6, 8549, 65, 415, 96, 6, 3288, 95, 1265, 2567, 1130, 1, 13, 28, 480, 1, 1, 3005, 1, 95, 1, 3, 1, 49, 1, 49, 1127, 1, 1, 790, 1015, 1]]\n",
      "[[1788, 2567, 7909, 2885, 1, 6793, 301, 6, 2299, 99, 1420, 38, 2064, 2221, 15, 1, 200, 2767, 6, 810, 1, 181, 371, 32, 2567, 5248, 337, 2, 377, 66, 16, 884, 22, 1, 1661, 1, 790, 1015, 1, 2567, 1, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 23, 422, 3445, 3240, 1063, 407, 40, 120, 82, 144, 859, 6, 3612, 70, 203, 6216, 79, 181, 2, 723, 1, 2367, 479, 57, 1103, 700, 7516, 161, 2770, 102, 303, 1, 44, 1137, 29, 77, 318, 1, 23, 58, 1276, 57, 176, 1, 2216, 5, 1265, 2567, 16, 15, 118, 15, 1]]\n",
      "[[1, 1, 1, 7590, 1265, 2567, 1, 3109, 3, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 2, 572, 23, 453, 1265, 2567, 4, 1434, 1729, 6, 1764, 2299, 4391, 6, 1788, 2567, 461, 121, 131, 3095, 9862]]\n",
      "[[1, 1, 1, 480, 1, 1, 1265, 2567, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 474, 1, 262, 203, 1265, 2567, 33, 1, 1, 4616, 2, 6380, 1865, 65, 9, 479, 6203, 2, 1854, 474, 668, 1]]\n",
      "[[2067, 1, 1, 99, 4081, 2567, 1, 136, 1, 2315, 1, 28, 2065, 13, 1, 1, 99, 1220, 719, 9, 1265, 2567, 1, 139, 1, 1, 1, 1, 1, 790, 1015, 1, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[1, 704, 13, 2375, 7079, 346, 1, 1, 5, 3288, 4, 246, 19, 1095, 1, 1, 4, 246, 1, 704, 13, 2375, 7079, 1, 1, 1, 5, 1265, 2567, 4, 281, 19, 1095, 1, 27, 704, 13, 2375, 1095, 1, 3466, 5, 8549, 4, 281, 19, 7079, 323, 1, 1, 790, 1015, 1]]\n",
      "[[1, 722, 1, 1, 2, 1, 9279, 1993, 1265, 2567, 1, 1, 3, 369, 1, 1, 1, 3, 1, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 1, 790, 1015, 1, 10, 7, 304, 13, 131, 1265, 2567, 58, 67, 29, 348, 16, 291, 6, 701, 512, 2, 1, 3, 823, 1, 7123, 13, 23, 1443, 2250, 6, 2, 1, 81, 2454, 57, 86, 4029]]\n",
      "[[9125, 148, 1, 1265, 2567, 8209, 1825, 1, 17, 708, 2128, 1825, 1, 1138, 22, 126, 2963, 1, 1, 790, 1015, 1]]\n",
      "[[55, 10, 265, 6, 2567, 1, 3, 4446, 2, 120, 1364, 5, 204, 7, 6, 1, 2, 447, 161, 10, 469, 4, 1981, 447, 17, 4, 2567, 1, 1530, 1, 10, 58, 1773, 23, 17, 35, 406, 1805, 49, 23, 28, 102, 1, 9, 131, 1, 1, 1, 1, 790, 1015, 1]]\n",
      "[[4, 24, 37, 333, 191, 1, 1265, 2567, 7, 150, 32, 1, 1, 4, 5593, 49, 75, 1, 2, 1854, 5, 1265, 2567, 9, 3288, 4855, 1324, 1, 790, 1015, 1]]\n",
      "[[91, 3320, 7, 1, 1265, 2567, 36, 58, 2217, 6, 1, 42, 1, 19, 92, 82, 58, 2217, 6, 1, 5593, 5, 3288, 123, 23, 125, 13, 9, 3288, 1324, 1, 1265, 2567, 7, 1, 32, 1, 1, 5593, 1729, 4855, 13, 7, 3320, 8549, 7, 32, 1304, 1, 5593, 1, 790, 1015, 1]]\n",
      "[[1, 169, 125, 12, 161, 4, 2080, 2466, 3288, 3, 1835, 2466, 296, 3955, 359, 1686, 3288, 1, 17, 5115, 42, 1, 1265, 2567, 7, 2, 411, 1, 1, 11, 264, 10, 7, 348, 15, 1, 359, 1686, 17, 510, 25, 23, 1643, 16, 2, 193, 6535, 1, 790, 1015, 1]]\n",
      "[[1, 1, 1, 1, 2462, 6, 4, 2436, 281, 5131, 1, 1, 48, 1051, 4808, 17, 1, 1, 77, 53, 1, 1, 790, 1015, 1, 1, 1, 1, 1, 1661, 1, 1, 1, 1, 1, 790, 1015, 1]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[-0.495814]])"
      ]
     },
     "execution_count": 249,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_sentiment(tweets)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9c0ce21",
   "metadata": {},
   "source": [
    "## Now we can use the new sentiment value of this day and use it to extend the data frame of to be used for further training and prefictions"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}