Twitter roBERTa base for Sentiment Analysis UPDATED (2022) 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 Twitter based RoBERTa model can be found here and the original reference paper is TweetEval. This model is suitable for English. Reference Paper: TimeLMs paper. Git Repo: TimeLMs official repository. Labels : 0 Negative; 1 Neutral; 2 Positive This sentiment analysis model has been integrated into TweetNLP. You can access the demo here. Example Pipeline Full classification example Output: References
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy