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README.md
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- ind
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EmoT is an emotion classification dataset collected from the social media platform Twitter. The dataset consists of around 4000 Indonesian colloquial language tweets, covering five different emotion labels: anger, fear, happiness, love, and sadness.
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EmoT dataset is splitted into 3 sets with 3521 train, 440 validation, 442 test data.
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## Dataset Usage
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## Citation
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title={Emotion classification on indonesian twitter dataset},
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author={Saputri, Mei Silviana and Mahendra, Rahmad and Adriani, Mirna},
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booktitle={2018 International Conference on Asian Language Processing (IALP)},
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## Homepage
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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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# emot
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EmoT is an emotion classification dataset collected from the social media platform Twitter. The dataset consists of around 4000 Indonesian colloquial language tweets, covering five different emotion labels: anger, fear, happiness, love, and sadness.
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EmoT dataset is splitted into 3 sets with 3521 train, 440 validation, 442 test data.
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## Dataset Usage
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## Citation
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```
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@inproceedings{saputri2018emotion,
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title={Emotion classification on indonesian twitter dataset},
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author={Saputri, Mei Silviana and Mahendra, Rahmad and Adriani, Mirna},
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booktitle={2018 International Conference on Asian Language Processing (IALP)},
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## Homepage
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[https://github.com/IndoNLP/indonlu](https://github.com/IndoNLP/indonlu)
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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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