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Open Source Model Profile · finiteautomata

bertweet-base-sentiment-analysis

bertweet-base-sentiment-analysis is a RoBERTa-based English tweet-sentiment classifier from finiteautomata. According to the model card, it is trained on the SemEval 2017 corpus and outputs POS, NEG, and NEU labels.

Publisher
finiteautomata
Task
text-classification
Model type
roberta
License
Unknown
Library
transformers
Publication status
Accepted · not indexed

Model overview

bertweet-base-sentiment-analysis is published by finiteautomata as a text-classification model. The captured configuration identifies RobertaForSequenceClassification with model type roberta and Transformers support. According to the model card, it performs English sentiment analysis with POS, NEG, and NEU labels, trained on the SemEval 2017 corpus of around 40k tweets from a BERTweet base.

Recorded capabilities

English tweet sentiment classification

Hub data records text-classification with sentiment-analysis and en tags, and the model card describes English sentiment analysis.

SemEval 2017 training corpus

According to the model card, the model was trained on the SemEval 2017 corpus of around 40k tweets.

BERTweet RoBERTa base

According to the model card, the base model is BERTweet, a RoBERTa model trained on English tweets.

Three-label output

According to the model card, the model uses POS, NEG, and NEU labels.

Use cases in the source record

  • English tweet and short-text sentiment classification using the documented POS, NEG, and NEU label set.
  • Research-oriented sentiment work through the publisher's pysentimiento repository under its non-commercial, scientific-research terms.

Limitations and unknowns

  • No parameter count was extracted from this record.
  • No license value was extracted from this record; the model card notes non-commercial research-only use and third-party dataset licenses.
  • No evaluation results were extracted from this record.
  • Provider state is historical snapshot data and should be refreshed before being presented as current.

Source and provenance

Source: finiteautomata/bertweet-base-sentiment-analysis

Captured: Unknown. Processed: 2026-09-07T19:34:44.454555+00:00.

Sentiment Analysis in English bertweet-sentiment-analysis Repository: https://github.com/finiteautomata/pysentimiento/ Model trained with SemEval 2017 corpus (around ~40k tweets). Base model is BERTweet , a RoBERTa model trained on English tweets. Uses POS , NEG , NEU labels. License pysentimiento is an open-source library for non-commercial use and scientific research purposes only. Please be aware that models are trained with third-party datasets and are subject to their respective licenses. TASS Dataset license SEMEval 2017 Dataset license Citation If you use pysentimiento in your work, please cite this paper @misc{perez2021pysen…

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