bert-it-emotion
pysentimiento基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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bert-it-hate-speech
pysentimiento基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bert-it-sentiment
pysentimiento基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bert-pt-emotion
pysentimiento基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bertabaporu-pt-hate-speech
pysentimiento基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bertweet-hate-speech
pysentimiento基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bertweet-irony
pysentimiento基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bertweet-pt-sentiment
pysentimientoRepository: https://github.com/pysentimiento/pysentimiento/ Model trained for polarity detection in Portuguese. Base model is BERTabaporu, a RoBERTa model trained in Portuguese tweets. Use it directly with pysentimiento
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View details ↗robertuito-base-uncased
pysentimiento**PAPER** Github Repository [](https://colab.research.google.com/drive/1WcubR0kbqT289XupSnN5-STe7HafyKpf#scrollTo=SF-n4IdjnoYk) *RoBERTuito* is a pre-trained language model for user-generated content in Spanish, trained following RoBERTa guidelines on 500 million tweets. *RoBERTuito* comes in 3 flavors: cased, uncased, and uncased+deaccented. We tested *RoBERTuito* on a benchmark of tasks involving user-generated text in Spanish. It outperforms other pre-trained language models for this language such as *BETO*, *BERTin* and *RoBERTa-BNE*. The 4 tasks selected for evaluation were: Hate Speech Detection (using SemEval 2019 Task 5, HatEval dataset), Sentiment and Emotion Analysis (using TASS 2020 datasets), and Irony detection (using IrosVa 2019 dataset).
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View details ↗robertuito-emotion-analysis
pysentimientoRepository: https://github.com/pysentimiento/pysentimiento/ Model trained with TASS 2020 Task 2 corpus for Emotion detection in Spanish. Base model is RoBERTuito, a RoBERTa model trained in Spanish tweets. Results for the four tasks evaluated in `pysentimiento`. Results are expressed as Macro F1 scores
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View details ↗robertuito-hate-speech
pysentimientoModel trained with SemEval 2019 Task 5: HatEval (SubTask B) corpus for Hate Speech detection in Spanish. Base model is RoBERTuito, a RoBERTa model trained in Spanish tweets. Note that for Hate Speech, these are the results for Semeval 2019, Task 5 Subtask B (HS+TR+AG detection)
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View details ↗robertuito-irony
pysentimientoModel trained with IRosVA 2019 dataset for irony detection. Base model is RoBERTuito, a RoBERTa model trained in Spanish tweets. Note that for Hate Speech, these are the results for Semeval 2019, Task 5 Subtask B (HS+TR+AG detection)
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View details ↗robertuito-ner
pysentimiento基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗robertuito-sentiment-analysis
pysentimientoRepository: https://github.com/pysentimiento/pysentimiento/ Model trained with TASS 2020 corpus (around ~5k tweets) of several dialects of Spanish. Base model is RoBERTuito, a RoBERTa model trained in Spanish tweets. Use it directly with pysentimiento
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