twitter XLM roBERTa base for Sentiment Analysis This is a multilingual XLM roBERTa base model trained on ~198M tweets and finetuned for sentiment analysis. The sentiment fine tuning was done on 8 languages (Ar, En, Fr, De, Hi, It, Sp, Pt) but it can be used for more languages (see paper for details). Paper: XLM T: A Multilingual Language Model Toolkit for Twitter. Git Repo: XLM T official repository. This model has been integrated into the TweetNLP library. Example Pipeline Full classification example Output: Reference
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