Sentiment analysis of Thai financial news

dc.contributor.authorEsichaikul, Vatcharaporn
dc.contributor.authorPhumdontree, Chawisa
dc.date.accessioned2024-04-04T06:55:56Z
dc.date.available2024-04-04T06:55:56Z
dc.date.issued2018
dc.description.abstractDue to the big data and FinTech influencers, the novel SentiFine framework was developed to facilitate the financial analysts or specialists who need to understand the financial and economic circumstances from the daily news. The objective of this framework is to analyze the sentiment of Thai financial daily news by integrating the fine-grained sentiment analysis technique with the deep neural network. Based on the proposed SentiFine framework, the prototype of the SentiFine web-based system was developed. With the main feature "View Daily News", the users can view the daily Thai financial news detail, the date and time of the news, the source of news, and its sentiment which is categorized into three tones (positive, neutral, and negative).
dc.event2nd International Conference on Software and e-Business (ICSEB 2018)
dc.event.end2018-12-20
dc.event.start2018-12-18
dc.identifier.doi
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/43216
dc.language.isoen
dc.spatialZhuhai
dc.subject.ddc330 - Wirtschaft
dc.titleSentiment analysis of Thai financial news
dc.type06 - Präsentation
dspace.entity.typePublication
fhnw.InventedHereNo
fhnw.ReviewTypeAnonymous ex ante peer review of an abstract
fhnw.affiliation.hochschuleHochschule für Wirtschaftde_CH
fhnw.affiliation.institutInstitut für Unternehmensführungde_CH
relation.isAuthorOfPublicationa919e52a-ed5f-478f-aa2d-b54d5f6d2202
relation.isAuthorOfPublication.latestForDiscoverya919e52a-ed5f-478f-aa2d-b54d5f6d2202
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