Text Mining Analysis on Users' Reviews for News Aggregator Toutiao

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dc.contributor.authorLi Jia
dc.contributor.authorWang Bifeng
dc.contributor.authorNi Alexandra Jingsi
dc.contributor.authorLiu Qian
dc.contributor.organizationfi=Itä-Aasian tutkimus- ja koulutuskeskus (CEAS)|en=Centre for East Asian Studies|
dc.contributor.organization-code1.2.246.10.2458963.20.79452838265
dc.converis.publication-id54797029
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/54797029
dc.date.accessioned2022-10-28T12:28:18Z
dc.date.available2022-10-28T12:28:18Z
dc.description.abstract<p>This paper intent to improve consumer communication by text mining analysis with users’ reviews. The news aggregator we focus on is: Toutiao, known as “today's headlines” in Chinese. It is the top news aggregator application run by Bytedance company in China. It utilizes AI algorithms to provide numerous news feed for its users. As new technologies are shaping the business strategy studies as well as online communication analysis, it requires innovative and effective analyses of unconventional data, such as the 12,290 online reviews on Toutiao we collected from Apple’s App Store. Through the LDA topic modelling and sentiment analysis, our research has identified three major negative complains the consumers have regarding Toutiao application, namely: too many unsolicited advertisements, contents (vulgar content, time consuming video, privacy and copyrights infringement issue) and incompatibility with the latest Apple digital devices<br></p>
dc.format.pagerange012008
dc.identifier.issn1742-6588
dc.identifier.jour-issn1742-6588
dc.identifier.olddbid176639
dc.identifier.oldhandle10024/159733
dc.identifier.urihttps://www.utupub.fi/handle/11111/32214
dc.identifier.urlhttps://iopscience.iop.org/article/10.1088/1742-6596/1771/1/012008
dc.identifier.urnURN:NBN:fi-fe2021093048242
dc.language.isoen
dc.okm.affiliatedauthorNi, Jingsi
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.conferenceInternational Conference on Artificial Intelligence and Cloud Computing
dc.relation.doi10.1088/1742-6596/1771/1/012008
dc.relation.ispartofjournalJournal of Physics: Conference Series
dc.relation.ispartofseriesJournal of Physics: Conference Series
dc.relation.volume1771
dc.source.identifierhttps://www.utupub.fi/handle/10024/159733
dc.titleText Mining Analysis on Users' Reviews for News Aggregator Toutiao
dc.title.bookInternational Conference on Artificial Intelligence and Cloud Computing (ICAICC) 2020 18-20 December 2020, Suzhou, China
dc.year.issued2021

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