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.
Sentiment Roberta Large English 3 Classes sits in PulseGate's Other AI category. 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. It ships for the web, the command line, and API.
j-hartmann builds and maintains Sentiment Roberta Large English 3 Classes, and it first shipped in 2022. Among its 3 catalogued features are Sentiment Analysis, 3-Class Classification, and RoBERTa Architecture. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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