Presentation 2008-12-13
Emotive Information Discovery from User Textual Input Using Emotion Expression Element and Web Mining
Wenhan Shi, Michal Ptaszynski, Rafal Rzepka, Kenji Araki,
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Abstract(in English) In the last few years there has been a rapid development in computerisation. Human lives depend on computers more and more by the day. To make the communication with the machines more natural for an average user, one of the crucial issues is to develop in machines applications and interfaces for understanding human emotions. In this paper we propose a system for affect analysis of textual utterances in Japanese. The emotional states are determined on the basis of appearance of emotive elements and emotive expressions in the utterances as well as Web mining technique in which emotional associations are extracted from the Web using causality features.
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Keyword(in English) Emotive Information Discovery / Emotion Expression Elements / Web Mining
Paper # TL2008-49
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Committee TL
Conference Date 2008/12/6(1days)
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Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Emotive Information Discovery from User Textual Input Using Emotion Expression Element and Web Mining
Sub Title (in English)
Keyword(1) Emotive Information Discovery
Keyword(2) Emotion Expression Elements
Keyword(3) Web Mining
1st Author's Name Wenhan Shi
1st Author's Affiliation Laboratory of Language Media, Division of Media and Network Technologies Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Michal Ptaszynski
2nd Author's Affiliation Laboratory of Language Media, Division of Media and Network Technologies Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Rafal Rzepka
3rd Author's Affiliation Laboratory of Language Media, Division of Media and Network Technologies Graduate School of Information Science and Technology, Hokkaido University
4th Author's Name Kenji Araki
4th Author's Affiliation Laboratory of Language Media, Division of Media and Network Technologies Graduate School of Information Science and Technology, Hokkaido University
Date 2008-12-13
Paper # TL2008-49
Volume (vol) vol.108
Number (no) 353
Page pp.pp.-
#Pages 4
Date of Issue