Cardiff NLP

Model · Text classification

twitter-roberta-base-sentiment-latest

Cardiff NLP

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. 0 -> Negative; 1 -> Neutral; 2 -> Positive This sentiment analysis model has been integrated into TweetNLP. You can access the demo here.

Model · Text classification

twitter-xlm-roberta-base-sentiment

Cardiff NLP

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). This model has been integrated into the TweetNLP library.

Model · Text classification

twitter-roberta-base-sentiment

Cardiff NLP

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). 0 -> Negative; 1 -> Neutral; 2 -> Positive See twitter-roberta-base-sentiment-latest and TweetNLP for more details. Please cite the reference paper if you use this model.