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datasets:
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- tweet_eval
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language:
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- en
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---
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# Twitter-roBERTa-base for Sentiment Analysis
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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](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment)).
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1 -> Neutral;
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2 -> Positive
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<b>New!</b> We just released a new sentiment analysis model trained on more recent and a larger quantity of tweets. See [twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) for more details.
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<b>New!</b> We just released a new sentiment analysis model trained on more recent and a larger quantity of tweets.
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See [twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) and [TweetNLP](https://tweetnlp.org) for more details.
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## Example of classification
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