A large RoBERTa model fine-tuned for sentiment analysis of English text with three output classes. It can be used via the Transformers library to classify text as positive, negative, or neutral. The model is open-weight and suitable for research or production text classification pipelines.
In the Other AI space, Sentiment Roberta Large English 3 Classes takes a focused approach. It focuses on classifying English text into positive, negative, or neutral sentiment. It is built as an open-source project for developers. Sentiment Roberta Large English 3 Classes is open source under the Open Source license. The product ships for the web, the command line, and API.
Behind Sentiment Roberta Large English 3 Classes is j-hartmann, and the product first shipped in 2022. Key capabilities include Sentiment Analysis, 3-Class Classification, and RoBERTa Architecture. It exposes integrations via a public API.
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