| | --- |
| | language: |
| | - en |
| |
|
| | tags: |
| | - emotion-analysis |
| |
|
| | --- |
| | # Emotion Analysis in English |
| | ## bertweet-base-emotion-analysis |
| |
|
| | Repository: [https://github.com/finiteautomata/pysentimiento/](https://github.com/finiteautomata/pysentimiento/) |
| |
|
| |
|
| | Model trained with EmoEvent corpus for Emotion detection in English. Base model is [BerTweet](https://huggingface.co/vinai/bertweet-base). |
| |
|
| |
|
| | ## License |
| |
|
| | `pysentimiento` is an open-source library for non-commercial use and scientific research purposes only. Please be aware that models are trained with third-party datasets and are subject to their respective licenses. |
| |
|
| | 1. [TASS Dataset license](http://tass.sepln.org/tass_data/download.php) |
| | 2. [SEMEval 2017 Dataset license]() |
| |
|
| | ## Citation |
| |
|
| | If you use `pysentimiento` in your work, please cite [this paper](https://arxiv.org/abs/2106.09462) |
| |
|
| | ``` |
| | @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} |
| | } |
| | ``` |
| |
|
| | and also the dataset related paper |
| |
|
| | ``` |
| | @inproceedings{del2020emoevent, |
| | title={EmoEvent: A multilingual emotion corpus based on different events}, |
| | author={del Arco, Flor Miriam Plaza and Strapparava, Carlo and Lopez, L Alfonso Urena and Mart{\'\i}n-Valdivia, M Teresa}, |
| | booktitle={Proceedings of the 12th Language Resources and Evaluation Conference}, |
| | pages={1492--1498}, |
| | year={2020} |
| | } |
| | ``` |
| |
|
| | Enjoy! 🤗 |
| |
|
