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When I am using the pipeline, I meet an error: KeyError: "Unknown task depth-estimation, available tasks are ['audio-classification', 'automatic-speech-recognition', 'conversational', 'feature-extrac…
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Text-based sentiment classification feature.
- [ ] Mihai has text to train an happy/sad classifier
- [ ] text sentiment dictionary
- [ ] emoji sentiment dictionary
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This is not an issue but a question. I discovered that the TweetNLP demo can classify multilingual texts, including Turkish. Can I classify Turkish texts with this version? I haven't tried it yet, so …
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Hi. I wanted to develop a sentiment analysis model, implementing various classification models to predict the number of positive and negative reviews based on sentiment in the IMDB movie dataset.
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### Short description of current behavior
I have huggingface sentiment analyzer and sentiment explain comes as text in next format:
```
{'Neutral': 0.6581241488456726, 'Bullish': 0.3416257798671722…
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I use sentiment analysis with bert, however it is multiclass classification, how to change for binary class text classification.
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dear sir, I found that the sentiment classification task use the file "STree.txt" during the preprocessing stage. Is it necessary and how to generate this file if i use my dataset?
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I download the data from the offcial url and I found that the "answers" of several examples in "qasper.jsonl" are confusing. Here are several examples:
{"pred": "No", "answers": ["Yes", "No"], "all_c…
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## About
Follow up untuk #75 #96. Terimakasih untuk feedback dari teman-teman, semoga issue ini memperjelas dan membuat pemahaman kita menjadi sama.
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