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- W4386969971 abstract "A complaint is uttered when reality fails to meet one's expectations. Research on complaints, which contributes to our understanding of basic human behavior, has been conducted in the fields of psychology, linguistics, and marketing. Although several approaches have been implemented to the study of complaints, studies have yet focused on a target scope of complaints. Examination of a target scope of complaints is crusial because the functions of complaints, such as evocation of emotion, use of grammar, and intention, are different depending on the target scope. We first tackle the construction and release of a complaint dataset of 6,418 tweets by annotating Japanese texts collected from Twitter with labels of the target scope. Our dataset is available at url{https://github.com/sociocom/JaGUCHI}. We then benchmark the annotated dataset with several machine learning baselines and obtain the best performance of 90.4 F1-score in detecting whether a text was a complaint or not, and a micro-F1 score of 72.2 in identifying the target scope label. Finally, we conducted case studies using our model to demonstrate that identifying a target scope of complaints is useful for sociological analysis." @default.
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- W4386969971 date "2023-08-29" @default.
- W4386969971 modified "2023-09-29" @default.
- W4386969971 title "Complaints with Target Scope Identification on Social Media" @default.
- W4386969971 doi "https://doi.org/10.31449/inf.v47i3.4758" @default.
- W4386969971 hasPublicationYear "2023" @default.
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