SmarterTomorrow is a Python-based application designed to help users analyze tweets related to their target companies. It provides real-time sentiment analysis and predicts future trends with high accuracy, enabling companies and researchers to make informed decisions quickly.
- Tweet Filtering: Extracts and processes tweets relevant to a target company using customizable search criteria.
- Sentiment Analysis: Implements sentiment analysis to classify tweets as positive, negative, or neutral, with a focus on efficiency and accuracy.
- Trend Prediction: Leverages machine learning models trained on historical data to forecast future trends with 90% accuracy.
- User-Friendly Interface: Enables users to generate actionable statistics with just a few clicks.
- Programming Language: Python
- Libraries and Tools: Pandas, TensorFlow, Scikit-Learn, Seaborn
- Clone the repository
git clone https://github.com/kailinxGitHub/SmarterTomorrow.git cd SmarterTomorrow - Create and activate virtual environment
python -m venv env source env/bin/activate # For MacOS/Linux env\Scripts\activate # For Windows - Install dependencies
pip install -r requirements.txt
Set up your target company by specifying search keywords in the configuration file. Run the script to start collecting and analyzing tweets:
python main.py
View the sentiment analysis results and trend predictions in the output folder.
This project is licensed under the MIT License. See the LICENSE file for details.