cardiffnlp/twitter-roberta-base-sentiment

This is a roBERTa-base model trained on ~58M tweets and finetuned for sentiment analysis with the TweetEval benchmark . The model is trained on 58M tweets . It is then fed with a label mapping tool to map the content of the tweets . The data is then sent to the Twitter-roberta-base task . The results are based on tweets sent by users and labels . The code is then downloaded to the official repository of the model . For more information on the code, visit http://://www.com/cardiffnlp/tweeteval/main/datasets/{task}/mapping_link . For the full code,