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  CASA: An aspect-based sentiment analysis dataset consisting of around a thousand car reviews collected from multiple Indonesian online automobile platforms (Ilmania et al., 2018).
 
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  The dataset covers six aspects of car quality.
 
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  We define the task to be a multi-label classification task,
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- where each label represents a sentiment for a single aspect with three possible values: positive, negative, and neutral.
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  ## Dataset Usage
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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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+ # casa
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  CASA: An aspect-based sentiment analysis dataset consisting of around a thousand car reviews collected from multiple Indonesian online automobile platforms (Ilmania et al., 2018).
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+
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  The dataset covers six aspects of car quality.
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  We define the task to be a multi-label classification task,
 
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+ where each label represents a sentiment for a single aspect with three possible values: positive, negative, and neutral.
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  ## Dataset Usage
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  ## Homepage
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+ [https://github.com/IndoNLP/indonlu](https://github.com/IndoNLP/indonlu)
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+
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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)