CASA (IndoNLU) Dataset
Created by Ilmania et al. at 2018, the CASA (IndoNLU) An aspect-based sentiment analysis dataset consisting of around a thousand car reviews collected from multiple Indonesian online automobile platforms. Task is defined as a multi-label classification task, where each label represents a sentiment for a single aspect with three possible values: positive, negative, and neutral., in Indonesian language. Containing 1,08 in CSV file format.
Dataset Sources
Here you can download the CASA (IndoNLU) dataset in CSV format.
Download CASA (IndoNLU) dataset CSV files
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Paper
Read full original CASA (IndoNLU) paper.
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