Presentation 2008/7/10
Analyzing Context Dependent Polarity Expressions by Using Antonyms
YOSHIKAZU SAKAI, KENJI ARAKI,
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Abstract(in English) This paper presents a method for automatically classifying evaluative expression extracted from large amount of Web documents. Some of the expression like "large", "small" has a problem to be difficult to classify as positive or negative based on one word. Then we are based on the research of evaluative expression consisting of multiple words, and try to classify them. Using the number of hits returned by a Web search engine and the antonyms can get rid of the cost. Through experiments, we achieves an accuracy of 74% when system covers 80% data, and confirmed the effectiveness of our proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) opinion extraction / sentiment polarity / evaluative analysis
Paper # NLC2008-5
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Committee NLC
Conference Date 2008/7/10(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analyzing Context Dependent Polarity Expressions by Using Antonyms
Sub Title (in English)
Keyword(1) opinion extraction
Keyword(2) sentiment polarity
Keyword(3) evaluative analysis
1st Author's Name YOSHIKAZU SAKAI
1st Author's Affiliation Graduate School of Infomation Science and Technology, Hokkaido University()
2nd Author's Name KENJI ARAKI
2nd Author's Affiliation Graduate School of Infomation Science and Technology, Hokkaido University
Date 2008/7/10
Paper # NLC2008-5
Volume (vol) vol.108
Number (no) 141
Page pp.pp.-
#Pages 6
Date of Issue