Nepali Language Sentiment Analysis using NepBERTa

Overview

This repository contains code for performing sentiment analysis on Nepali text using the NepBERTa transformer model. NepBERTa is a BERT-based model that has been trained on a Nepali data corpus for sentiment analysis tasks.

The sentiment analysis model is deployed using Flask, allowing you to interact with it through a simple web interface. You can use the sentimentAnalysis.py script to run the application locally.

1. Installation

Clone the repository:

git@github.com:rupeshghimire7/Nepali-Sentiment-Analysis-Using-NepBERTa-.git

2. Install required dependencies

pip install -r requirements.txt

3. Usage

Run the sentiment analysis web application:

python sentimentAnalysis.py

Access the web interface by navigating to http://localhost:5000 in your web browser.

Enter Nepali text into the provided input box and submit to receive sentiment analysis results.

4. Contributing

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

5. License

This project is licensed under the MIT License.

5. Acknowledgments

The NepBERTa model used in this project can be found on:NepBERTa.

Happy sentiment analyzing in Nepali! 🇳🇵✨