🐦 Tweet Classifier 🐦

Welcome to the Tweet Classifier repository! This tool utilizes deep learning, specifically Brain.js, to classify tweets!

Key Features

• Utilizes deep learning with Brain.js for efficient tweet classification
• Tokenizes and stems tweets to build a comprehensive words dictionary

How It Works

1. Data Preprocessing:

   • Tweets are tokenized and stemmed to create a meaningful words dictionary.

2. Model Training:

   • The preprocessed data is fed into the model for training using Brain.js.

3. Classification:

   • When you make a request with two tweets, the model processes them.
   • The model converts the tweets into a Bag-of-Words (BoW) representation, e.g., [0, 0, 0, 0, 1].
   • The BoW representation is then fed into the trained model for classification.

4. Results:

   • The model returns the classification probabilities for each tweet.
   • For example: {tweet1: 0.010000, tweet2: 0.09000} indicates the probability of each tweet belonging to a specific class.

About the Author

Briefly introduce yourself here. Talk about your passion for coding and what inspired you to create this awesome Tweet Classifier!

Connect with me on Linkedin or follow me on Twitter to stay updated with my latest projects.

License

[MIT]