ShahAman/sentiment_analysis_app

Sentiment Analysis App

This API provides sentiment analysis for text inputs using a pre-trained machine learning model.

Requirements

• Python 3.x
• Django
• Django Rest Framework
• Transformers

Installation

1. Clone the repository:

   git clone https://github.com/ShahAman/sentiment-analysis-api.git

2. Change into the project directory:

   cd sentiment-analysis-api

3. Install the required packages:

   pip install -r requirements.txt

Usage

1. Run the Django development server:

   python manage.py runserver

2. The API will be accessible at http://localhost:8000/api/analyze/.

3. Send a POST request to the /analyze endpoint with a JSON payload containing the text parameter:

   curl -X POST -H "Content-Type: application/json" -d '{"text": "I love this product!"}' http://localhost:8000/api/analyze/

4. The API will respond with a JSON object containing the sentiment analysis result:

   {
     "sentiment": "positive"
   }

Customization

• To change the port on which the API runs, modify the runserver command in the manage.py file.
• You can modify the sentiment analysis model by changing the model_name variable in sentiment/views.py.
• Additional customization options are available in Django and Django Rest Framework. Refer to their documentation for more details.

License

This project is licensed under the MIT License. Feel free to use and modify it for your own purposes.

Credits

• The sentiment analysis model used in this API is provided by StatsGary.
• This project was developed by Shahnewaz.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.