Bertweet Base Sentiment Analysis

🚀 Sentiment Analysis in English

This project focuses on sentiment analysis in English. It uses a model trained on the SemEval 2017 corpus to classify sentiments in tweets, offering a practical solution for sentiment analysis tasks.

🚀 Quick Start

The model is part of the pysentimiento library. You can access the repository here.

✨ Features

• Trained on Specific Corpus: The model is trained with the SemEval 2017 corpus, which contains around ~40k tweets.
• Base Model: It uses BERTweet, a RoBERTa model trained on English tweets.
• Label System: It uses POS, NEG, NEU labels for sentiment classification.

📚 Documentation

Model Information

📄 License

pysentimiento is an open - source library for non - commercial use and scientific research purposes only. Please note that models are trained with third - party datasets and are subject to their respective licenses.

1. TASS Dataset license
2. SEMEval 2017 Dataset license

📚 Citation

If you use pysentimiento in your work, please cite this paper

@misc{perez2021pysentimiento,
      title={pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP tasks},
      author={Juan Manuel Pérez and Juan Carlos Giudici and Franco Luque},
      year={2021},
      eprint={2106.09462},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Enjoy! 🤗