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README.md
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---
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license: unknown
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tags:
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- sentiment-analysis
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language:
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- ind
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---
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# id_hatespeech
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The ID Hatespeech dataset is collection of 713 tweets related to a political event, the Jakarta Governor Election 2017
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designed for hate speech detection NLP task. This dataset is crawled from Twitter, and then filtered
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and annotated manually. The dataset labelled into two; HS if the tweet contains hate speech and Non_HS if otherwise
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## Dataset Usage
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Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
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## Citation
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```
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@inproceedings{inproceedings,
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author = {Alfina, Ika and Mulia, Rio and Fanany, Mohamad Ivan and Ekanata, Yudo},
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year = {2017},
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month = {10},
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pages = {},
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title = {Hate Speech Detection in the Indonesian Language: A Dataset and Preliminary Study},
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doi = {10.1109/ICACSIS.2017.8355039}
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}
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```
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## License
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Unknown
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## Homepage
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[https://www.researchgate.net/publication/320131169_Hate_Speech_Detection_in_the_Indonesian_Language_A_Dataset_and_Preliminary_Study](https://www.researchgate.net/publication/320131169_Hate_Speech_Detection_in_the_Indonesian_Language_A_Dataset_and_Preliminary_Study)
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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