Skip to content

TermA (IndoNLU)

Sentiment ExtractionIndonesian

TermA (IndoNLU) is a sentiment extraction-focused dataset in Indonesian that provides 5 labeled examples distributed in Text format.

About TermA (IndoNLU)

Dataset consists of thousands of hotel reviews, which each contain a span label for aspect and sentiment words representing the opinion of the reviewer on the corresponding aspect. The labels use Inside-Outside-Beginning (IOB) tagging representation with two kinds of tags, aspect and sentiment.

Details

Task
Sentiment Extraction
Language
Indonesian
Format
Text
Rows / instances
5
Creator
Septiandri and Sutiono & Fernando et al.
Year
2019
Download Paper

FAQ