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SmarterTomorrow - Company-Specific Twitter Data Analysis Tool

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.

Features

  • 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.

Skills and Technologies

  • Programming Language: Python
  • Libraries and Tools: Pandas, TensorFlow, Scikit-Learn, Seaborn

Installation

  1. Clone the repository 
    git clone https://github.com/kailinxGitHub/SmarterTomorrow.git  
cd SmarterTomorrow
  2. Create and activate virtual environment 
    python -m venv env
source env/bin/activate # For MacOS/Linux
env\Scripts\activate # For Windows
  3. Install dependencies 
    pip install -r requirements.txt

Usage

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.

License

This project is licensed under the MIT License. See the LICENSE file for details.