finiteautomata_bertweet-base-sentiment-analysis
finiteautomata · View on Hugging Face ↗
Model card
The complete upstream card, rendered from this payload's README.md — the same hash-verified bytes the torrent distributes. Images and off-site links are removed; the original card on Hugging Face carries them.
language:
- en
tags:
- sentiment-analysis
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{perez2021pysentimiento,
title={pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP tasks},
author={Juan Manuel Pérez and Juan Carlos Giudici and Franco Luque},
year={2021},
eprint={2106.09462},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Enjoy! 🤗
Magnet link
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magnet:?xt=urn:btih:9ead10cf180e18f4024685146446af89232b7467&dn=finiteautomata_bertweet-base-sentiment-analysisOpen magnet in torrent client · infohash 9ead10cf180e18f4024685146446af89232b7467
Files & hashes
| Path | Size | sha1 | sha256 |
|---|---|---|---|
| README.md | 1.2 KB (1,217 B) | 21453c7d7048b38cbe9458acd3acb49b6177c800 | 17c796994edbc0ac3f52ea8cedaa11de382717f6ba5d584c06e11d5b5a5b26ac |
| added_tokens.json | 22 B (22 B) | 1f6ddcea4cb4f94f751b1315127d0d24ac2a17c8 | 956163bbe8b0625fcc779207447308285eab218ffe0551d3e0deeae5538da326 |
| bpe.codes | 1.0 MB (1,078,931 B) | 86a9f411c8a6e5e5db5da11826dbedc9e3c37876 | 77712739cd1a7f638e6694b0dd832494e4f66e3d05c709fc6a6a2f988ff9e589 |
| config.json | 949 B (949 B) | 63c9c86d30cbd7030b715bf9d6a3077b88016d65 | 235cb0d2042e4bddc8852f414751a7ec53d9d3b0d6f4677c73ccbe4436208cd4 |
| pytorch_model.bin | 514.7 MB (539,679,413 B) | 272d2c5f7a4999e6f260ae93e450a0af74663f91 | a481474183bf0ca80b485cd8d8dd5f0811fcce3c5ecef84c3ca180ed54918771 |
| special_tokens_map.json | 167 B (167 B) | e0b1d18ecd0ae4ff1d47bd297d910c0cf83e504b | d05497f1da52c5e09554c0cd874037a083e1dc1b9cfd48034d1c717f1afc07a7 |
| tokenizer_config.json | 338 B (338 B) | 4da7eb1a06104ca96bf959a204a3529149d8aa77 | 0af856978c18560bbe81a5ce99567307238623534a2f88170bc20441c241a3d7 |
| vocab.txt | 823.7 KB (843,438 B) | da70cf7f409297f3283f479fec79cb74ba6c06b7 | d3f3d56ed440cdb39bd60a76884b67e1061abca462146fdcc751f1ee40ae9ed3 |
Cite this release
- Canonical URL
- https://aiseedbank.org/models/finiteautomata_bertweet-base-sentiment-analysis/
- Slug
- finiteautomata_bertweet-base-sentiment-analysis
- Infohash
- 9ead10cf180e18f4024685146446af89232b7467
- License
- no license recorded
- Signing key fingerprint
- 85a3b32c3712427b
Every file carries a locally computed sha256 — verify a download against the signed sums: finiteautomata_bertweet-base-sentiment-analysis.SHA256SUMS (+ minisign signature).
Provenance
| Upstream repository | finiteautomata/bertweet-base-sentiment-analysis |
|---|---|
| Revision (pinned) | 924fc4c80bccb8003d21fe84dd92c7887717f245 |
| Fetched at | 2026-09-03T22:59:27Z |
| License at fetch | no license recorded |
| Snapshot tool | huggingface · seedbank 0.1.0 |
Trackers
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✓ verified · rehash-vs-hf-metadata at 2026-09-03T22:59:35Z
no license recorded516.5 MB (541,604,475 bytes)transformerspytorchrobertatext-classificationsentiment-analysisendpoints_compatible2 languages (tf, en)paper: 2106.09462