Sentiment Insight

Understand Feelings. Empower Decisions.

AI-powered Sentiment Analysis for Everyone

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Brand Identity (click to expand)

• Project Name: Sentiment Insight
• Tagline: Understand Feelings. Empower Decisions.
• Colors:
  • Primary: #4F8EF7
  • Secondary: #6C63FF
  • Accent: #F7B801
  • Background: #F4F6FB
  • Text: #22223B
• Fonts: Poppins, Open Sans, Roboto
• Logo: Simple, modern, emotion-inspired (see above)

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Sentiment Analysis Project

Overview

This is a Sentiment Analysis Web Application built with FastAPI (Backend) and a simple HTML/CSS/JS Frontend. It allows users to input English text and get the predicted sentiment using a trained deep learning model (LSTM/BERT).

Features

• 🔑 User Authentication (Login & Register)
• 📝 Sentiment Prediction (7 Categories: sadness, disappointment, anger, neutral, happiness, excitement, gratitude)
• 📊 History Tracking (stores past analyses)
• 🌐 Simple Web Interface
• 🗄️ Database Integration

Project Structure

sentiment-analysis-project-Final
 ├── backend/        # FastAPI backend, routers, database, entry points
 ├── frontend/       # Static HTML, CSS, JS files
 ├── model/          # Sentiment analysis model files
 ├── tests/          # Unit and API tests
 ├── requirements.txt
 ├── README.md
 ├── .env            # Not included in repo

Installation & Run

1. Clone the repository

   git clone https://github.com/D7oomyalasere/sentiment-analysis-project-Final.git
   cd sentiment-analysis-project-Final

2. Create and activate virtual environment

   python -m venv venv
   venv\Scripts\activate   # On Windows
   source venv/bin/activate # On Linux/Mac

3. Install dependencies

   pip install -r requirements.txt

4. Run the server

   uvicorn backend.main:app --reload

5. Access the app

   • API Docs: http://127.0.0.1:8000/docs
   • Frontend: http://127.0.0.1:8000/static/front.html

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Notes

This project is still under development and can be improved with:

• Advanced frontend (React/Vue)
• Better model (Transformer-based like BERT)
• Deployment online (Heroku, Render, etc.)

• Deployment online (Heroku, Render, etc.).