The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 20-658
Full Name: Osamu Uchida
Position: Associate Professor
Age: ON
Sex: Male
Address: 4-1-1 Kitakaname, Hiratsuka, Kanagawa, 259-1292
Country: JAPAN
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E-mail address: o-uchida@tokai.ac.jp
Other E-mails: uchida.com@gmail.com
Title of the Paper: An Automatic Method to Generate the Emotional Vectors of Emoticons Using Blog Articles
Authors as they appear in the Paper: Sho Aoki, Osamu Uchida
Email addresses of all the authors: o-uchida@tokai.ac.jp,oginter1113@gmail.com
Number of paper pages: 8
Abstract: In recent years, reputation analysis and opinion mining services using the articles written in personal blogs, message boards, and community web sites such as Facebook, MySpace, and Twitter have been developed. To improve the accuracy of the reputation analysis and the opinion mining, we have to extract emotions or reactions of writers of documents accurately. And now, graphical emoticons (emojis in Japanese) are often used in blogs and SNSs in Japan, and in many cases these emoticons have the role of modalities of writers of blog articles or SNS messages. That is, to estimate emotions represented by emoticons is important for reputation analysis and opinion mining. In this study, we propose a methodology for automatically generating the emotional vectors of graphical emoticons automatically using the collocation relationship between emotional words and emoticons which is derived from many blog articles. The experimental results show the effectiveness of the propos!
ed method.
Keywords: Collective intelligence, Consumer-generated media, Blog, Emoticon, Emotional vector, Emotional word, Emoji, Opinion mining, Reputation analysis, User-generated content
EXTENSION of the file: .pdf
Special (Invited) Session: A Method for Automatically Generating the Emotional Vectors of Emoticons Using Weblog Articles
Organizer of the Session: 653-202
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