Presentation 2021-02-18
Sarcasm Detection with Japanese Wikipedia Entity Vector
Xu Xufei, Hiai Satoshi, Shimada Kazutaka,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, the task of detecting sarcasm has been tackled in many studies. Sarcasm detection is important for understanding people's actual sentiments and thoughts. However, general sentiment analysis models, which take polar words as an important feature, often do not understand the sarcasm that conveys intent different from literal meaning. Sufficient relevant information about the sentence is needed for sarcasm detection. In this paper, we work on improving the accuracy of sarcasm detection by introducing external information. This research proposes a method for introducing external information and examines the structure of the model that introduces external information. We compare the methods with baseline methods. The results demonstrate the effectiveness of our method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Sarcasm / Sentiment analysis / Opinion mining / External knowledge / Microblogging
Paper # NLC2020-27
Date of Issue 2021-02-11 (NLC)

Conference Information
Committee NLC
Conference Date 2021/2/18(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) The 17th Text Analytics Symposium
Chair Kazutaka Shimada(Kyushu Inst. of Tech.)
Vice Chair Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Takeshi Kobayakawa(NHK)
Secretary Mitsuo Yoshida(Univ. of Tokyo) / Takeshi Kobayakawa(Hiroshima Univ. of Economics)
Assistant Kanjin Takahashi(Sansan) / Ko Mitsuda(NTT)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sarcasm Detection with Japanese Wikipedia Entity Vector
Sub Title (in English)
Keyword(1) Sarcasm
Keyword(2) Sentiment analysis
Keyword(3) Opinion mining
Keyword(4) External knowledge
Keyword(5) Microblogging
1st Author's Name Xu Xufei
1st Author's Affiliation Kyushu Institute of Technology(KIT)
2nd Author's Name Hiai Satoshi
2nd Author's Affiliation Kyushu Institute of Technology(KIT)
3rd Author's Name Shimada Kazutaka
3rd Author's Affiliation Kyushu Institute of Technology(KIT)
Date 2021-02-18
Paper # NLC2020-27
Volume (vol) vol.120
Number (no) NLC-374
Page pp.pp.25-30(NLC),
#Pages 6
Date of Issue 2021-02-11 (NLC)