Sentiment Analysis Tool

A simple web application for analyzing the sentiment (positive or negative) of user-input text using a pre-trained NLP model from Hugging Face.

Features

• Real-time Sentiment Analysis: Classifies text as positive or negative.
• Confidence Score: Displays the model's confidence in its prediction.

Demo

Link to live demo

Getting Started

Prerequisites

• Node.js (use the latest version for best compatibility)
• Hugging Face API Key for access to the pre-trained model

Installation

1. Clone the repository:

git clone https://github.com/robdll/sentiment-analysis-tool.git

2. Move to the project directory:

cd sentiment-analysis-tool

3. Install dependencies:

npm install

4. Set up environment variables:

• Create a .env.local file in the root directory.
• Add your Hugging Face API key:

  HUGGING_FACE_API_KEY=your_hugging_face_api_key

Running the Project

Start the development server:

  npm run dev

Visit http://localhost:3000 in your browser to access the app.

Deployment

This app can be deployed on Vercel:

• Push your code to a GitHub repository.
• Import the repository to Vercel.
• Add the HUGGING_FACE_API_KEY environment variable in Vercel's settings.

Usage

1. Enter text into the input box.
2. Click "Analyze Sentiment" to view the sentiment and confidence score.

Technologies Used

• Next.js: React framework for server-side rendering and API routes.
• Hugging Face Transformers: Pre-trained NLP models for sentiment analysis.
• Vercel: Deployment and hosting.

License

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