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https://marvinlsj.github.io/2018/11/23/NBSVM%20for%20sentiment%20and%20topic%20classification/
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Dataloader name: `mongabay/mongabay.py`
DataCatalogue: http://seacrowd.github.io/seacrowd-catalogue/card.html?mongabay
| Dataset| mongabay |
|-------------|---|
| Description | Conservation datas…
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Today we have tasks such as `tasks.classification.mutli_class` that are very general by using things like: `class_type` then we can have sentiment and emotion classification under the same task by usi…
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Great package, and I think it offers a very easy-to-use implementation for targeted sentiment classification! I had a brief question: it took me a while to track down that I think the package fails fo…
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## 0. 論文
[Exploiting Document Knowledge for Aspect-level Sentiment Classification](https://arxiv.org/abs/1806.04346v1)
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier
## 1. どんなもの？
Aspect-l…
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I noticed a number of various things are incorrectly implemented.
```python
classifier = pipeline("sentiment-analysis", device="cpu",
model="distilbert/distilbert-base-uncased-fin…
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Hi,
I wanted to use XLM for text classification task, basically for sentiment analysis for any language. I want to use English language data for training and then other languages data for prediction.…
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Part of the web interface is supposed to show how each feature would be classified if it was a document of length one. Why does the hierarchical sentiment classifier only label these individual featur…
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### Feature request
LoRAX currently only supports text generation models (e.g., causal language models). It lacks support for sequence classification models like `AutoModelForSequenceClassification`.…
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the input to the branches is not actually the initial feedback, but the output of previous chain, which would be the classification. hence, the chain is not behaving as expected