Thai sentiment analysis with deep learning techniques: A comparative study based on word embedding, POS-tag, and sentic features

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dc.contributor.authorKitsuchart Pasupa
dc.contributor.authorThititorn Seneewong Na Ayutthaya
dc.date.accessioned2025-07-21T06:01:36Z
dc.date.issued2019-05-30
dc.identifier.doi10.1016/j.scs.2019.101615
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/8380
dc.subjectWord embedding
dc.subjectSentiment Analysis
dc.subjectLeverage (statistics)
dc.subject.classificationSentiment Analysis and Opinion Mining
dc.titleThai sentiment analysis with deep learning techniques: A comparative study based on word embedding, POS-tag, and sentic features
dc.typeArticle

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