文章基本信息

标题：Sentiment and Authority Analysis in Conversational Content
其他标题：Sentiment and Authority Analysis in Conversational Content
作者：Machová, Kristína ; Mikula, Martin ; Szabóová, Martina 等
期刊名称：COMPUTING AND INFORMATICS
印刷版ISSN：1335-9150
出版年度：2018
卷号：37
期号：3
页码：737-758
语种：English
出版社：COMPUTING AND INFORMATICS
摘要：This paper deals with mining conversational content from the social media. It focused on two issues: opinion and emotion classification and identification of authoritative reviewers. The paper also describes applications representing the results obtained in the given areas. Authority identification can be used by organizations to search for experts in their specific areas to employ them. The opinion and emotion analysis can be useful for providing decision-making support.
其他摘要：This paper deals with mining conversational content from the social media. It focused on two issues: opinion and emotion classification and identification of authoritative reviewers. The paper also describes applications representing the results obtained in the given areas. Authority identification can be used by organizations to search for experts in their specific areas to employ them. The opinion and emotion analysis can be useful for providing decision-making support.
关键词：Knowledge and Information Engineering; Text Mining; Sentiment Analysis;Opinion analysis; emotion analysis; conversational content; conversation structure; authority identification;68U15