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Jose Camacho Collados 2022-03-21 09:03:38 +00:00 committed by huggingface-web
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# Twitter-roBERTa-base for Sentiment Analysis - UPDATED (2021)
This is a roBERTa-base model trained on ~124M tweets from January 2018 to December 2021 (see [TimeLMs paper](https://arxiv.org/abs/2202.03829)), and finetuned for sentiment analysis with the TweetEval benchmark.
The original roBERTa-base model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m).
This model is suitable for English.
This is a roBERTa-base model trained on ~124M tweets from January 2018 to December 2021 , and finetuned for sentiment analysis with the TweetEval benchmark.
The original roBERTa-base model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m) and the original reference paper is [TweetEval](https://github.com/cardiffnlp/tweeteval).This model is suitable for English.
- Reference Paper: [_TweetEval_ (Findings of EMNLP 2020)](https://arxiv.org/pdf/2010.12421.pdf).
- Git Repo: [Tweeteval official repository](https://github.com/cardiffnlp/tweeteval).
- Reference Paper: [TimeLMs paper](https://arxiv.org/abs/2202.03829).
- Git Repo: [TimeLMs official repository](https://github.com/cardiffnlp/timelms).
<b>Labels</b>:
0 -> Negative;