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Sentiment Analysis Tool

A simple sentiment analysis tool that uses Hugging Face's transformers library to analyze the sentiment of text input. The tool provides both a command-line interface and a Streamlit web interface.

Features

• Sentiment analysis using DistilBERT model
• Web interface built with Streamlit
• Real-time sentiment analysis with confidence scores
• Color-coded results (green for positive, red for negative)

Installation

1. Clone this repository
2. Install the required dependencies:

pip install -r requirements.txt

Usage

To run the Streamlit interface:

streamlit run sentiment_analyzer.py

The web interface will open in your default browser. Enter any text in the input area and click "Analyze Sentiment" to see the results.

Example Usage

1. Open the application using the command above
2. Enter text such as:
   • "I love this amazing product!" (positive)
   • "This is terrible, I hate it." (negative)
   • "The weather is okay today." (neutral)
3. Click "Analyze Sentiment" to see the results

Technical Details

• Uses the distilbert-base-uncased-finetuned-sst-2-english model from Hugging Face
• Built with Python 3.x
• Dependencies: transformers, torch, streamlit =======

Sentiment-Analysis-Tool

A real-time sentiment analysis web app using DistilBERT and Streamlit that analyzes text sentiment with confidence scores and visual feedback.

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