Presentation 2014-12-20
Assigning Onomatopoeic Words to Domain Trained Words-Relation Network of Sentiment Expressions
Tatsuya SENBON, Kazuhiro TAKEUCHI,
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Abstract(in English) Onomatopoeic words in Japanese language are frequently occurred in various documents on the Internet. Those words have an important semantics features compared with the other expressions: multiplex of meaning and strong semantic dependency to the certain domain and the context. The problem that we focus on in this paper is that general dictionaries did not provide descriptions of these semantic features very well. To address the problem, we investigated these semantic features with allocating those words to a domain-trained word relation network. The network was developed from a general semantic word network, the Japanese WordNet, and we trained the network in order to adjust it to the target domain. Comparing the results of the allocated sentiment axes of the target expressions to their dictionary description, we discuss the accuracy and validity of the semantic representation of the meaning of onomatopoeic words that we suggested
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Keyword(in English) Onomatopoeia / Word-Network / Domain-Specific / Sentiment Axis
Paper # TL2014-44
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Committee TL
Conference Date 2014/12/13(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) Assigning Onomatopoeic Words to Domain Trained Words-Relation Network of Sentiment Expressions
Sub Title (in English)
Keyword(1) Onomatopoeia
Keyword(2) Word-Network
Keyword(3) Domain-Specific
Keyword(4) Sentiment Axis
1st Author's Name Tatsuya SENBON
1st Author's Affiliation Graduate School of Engineering, Osaka Electro-Communication University()
2nd Author's Name Kazuhiro TAKEUCHI
2nd Author's Affiliation Graduate School of Engineering, Osaka Electro-Communication University
Date 2014-12-20
Paper # TL2014-44
Volume (vol) vol.114
Number (no) 385
Page pp.pp.-
#Pages 6
Date of Issue