Business popularity analysis from twitter

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dc.contributor.authorYaisawas, Pajaree
dc.contributor.authorLerdsri, Sukanlaya
dc.contributor.authorThanasopon, Bundit
dc.contributor.authorNetisopakul, Ponrudee
dc.date.accessioned2026-08-06T10:19:25Z
dc.date.available2026-08-06T10:19:25Z
dc.date.issued2018-01-01
dc.description.abstractSocial media is increasingly utilized for sharing information of online products, from business owners to customers, as well as among customers themselves. In order to utilize these sharing information, this paper proposes and demonstrates the methodology for analyzing business brand popularity based on Twitter posts. The analysis can be visualized by implementing a web application that keeps track and analyzes Twitter posts mentioning about cosmetic and beauty product. Specifically, the application focuses on Twitter posts in Thai; and its key features are, (1) identifying brands being in trend, (2) analyzing and virtualizing statistics provided by Twitter, and (3) classifying Twitter posts’ sentiment into positive, negative and objective. The website provides useful insights to brand owners aiming at exploiting social media and to customers buying products from those brands.
dc.identifier.citationAdvances in Intelligent Systems and Computing, 566, 337-348, 2018
dc.identifier.doi10.1007/978-3-319-60663-7_32
dc.identifier.issn21945357
dc.identifier.other2-s2.0-85022214848
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/8431
dc.sourceAdvances in Intelligent Systems and Computing
dc.subjectBrand
dc.subjectHashtag
dc.subjectPopularity
dc.subjectSentiment analysis
dc.subjectSocial listening
dc.subjectSocial media analysis
dc.subjectTwitter
dc.titleBusiness popularity analysis from twitter
dc.typeConference Paper

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