Presentation 2009-10-24
A Prototype System to Analyze Emotional Targets in Blogs
Masato Tokuhisa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper discusses a prototype system of an affective blog analyzer (ABLANA), which analyzes emotional states and extracts emotional targets of people from blogs. ABLANA uses RSS sent by blog sites to collect blog articles and then estimates emotions and their targets from the articles by a pattern dictionary. The dictionary contains approximately 14,800 patterns which can analyze the emotional cause, state and responsive expression. In the experiments, blog articles were collected from three Japanese blog sites during six months, which contained approximately 100,000,000 sentences. As the result, blog articles were ordered by the written time by using RSS. The aroused term of interest and dissatisfaction were successfully clarified by using both the Z-score of the appearance of keyword and the probability of the co-occurrence of the triplet of emotion-target-term.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) blog / weblog / affect / emotion reasoning / sentiment analysis / RSS / pattern / Z-score / ABLANA
Paper # TL2009-25
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Conference Information
Committee TL
Conference Date 2009/10/17(1days)
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Paper Information
Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Prototype System to Analyze Emotional Targets in Blogs
Sub Title (in English)
Keyword(1) blog
Keyword(2) weblog
Keyword(3) affect
Keyword(4) emotion reasoning
Keyword(5) sentiment analysis
Keyword(6) RSS
Keyword(7) pattern
Keyword(8) Z-score
Keyword(9) ABLANA
1st Author's Name Masato Tokuhisa
1st Author's Affiliation Department of Information and Electronics, Graduate School of Engineering, Tottori University()
Date 2009-10-24
Paper # TL2009-25
Volume (vol) vol.109
Number (no) 253
Page pp.pp.-
#Pages 6
Date of Issue