Twitter roBERTa base for Sentiment Analysis This is a roBERTa base model trained on ~58M tweets and finetuned for sentiment analysis with the TweetEval benchmark. This model is suitable for English (for a similar multilingual model, see XLM T). Reference Paper: TweetEval (Findings of EMNLP 2020). Git Repo: Tweeteval official repository. Labels : 0 Negative; 1 Neutral; 2 Positive New! We just released a new sentiment analysis model trained on more recent and a larger quantity of tweets. See twitter roberta base sentiment latest and TweetNLP for more details. Example of classification Output: BibTeX entry and citation info Please cite the reference paper if you use this model.
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