Presentation 2015-07-29
Sarcasm Detection
Mondher Bouazizi, Tomoaki Ohtsuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Sarcasm is a special form of speech by which the person conveys implicit information, within the message he transmits. Sarcasm is widely used in social networks and microblogging websites such as Twitter, where people criticize or give remarks in a way that makes it difficult even for humans to tell if what is said is what is meant. Recognizing sarcastic statements can be very useful to improve automatic sentiment analysis of data collected from the net. It helps also enhance the efficiency of after-sales services by understanding the real intentions and opinions of consumers when browsing their feedback or complaints. In this article we propose a method for sarcasm detection in Twitter. We identify the different types of sarcasm used in social networks. We propose four sets of features that cover these types of sarcasm, and that will be used to classify tweets into sarcastic and non-sarcastic. We evaluate the performances of our approach. We study the importance of each set of features and evaluate its importance in the classification.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Twitter / sarcasm detection / sentiment analysis
Paper # ASN2015-21
Date of Issue 2015-07-22 (ASN)

Conference Information
Committee RCC / ASN / RCS / NS / SR
Conference Date 2015/7/29(3days)
Place (in Japanese) (See Japanese page)
Place (in English) JA Naganoken Bldg.
Topics (in Japanese) (See Japanese page)
Topics (in English) Wireless Distributed Network, M2M: Machine-to-Machine, D2D (Device-to-Device),etc.
Chair Masaaki Katayama(Nagoya Univ.) / Hiroshi Tohjo(NTT) / Makoto Taromaru(Fukuoka Univ.) / Atsushi Hiramatsu(NTT-AT) / Takeo Fujii(Univ. of Electro-Comm.)
Vice Chair Shinsuke Hara(Osaka City Univ.) / Ryu Miura(NICT) / Hiroo Sekiya(Chiba Univ.) / Hiraku Okada(Nagoya Univ.) / Kiyohito Yoshihara(KDDI R&D Labs.) / Hidekazu Murata(Kyoto Univ.) / Satoshi Denno(Okayama Univ.) / Yukitoshi Sanada(Keio Univ.) / Hideki Tode(Osaka Pref. Univ.) / Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Masayuki Ariyoshi(NEC)
Secretary Shinsuke Hara(Kyoto Univ.) / Ryu Miura(Hokkaido Univ.) / Hiroo Sekiya(Kanagawa Inst. of Tech.) / Hiraku Okada(NTT) / Kiyohito Yoshihara(Mitsubishi Electric) / Hidekazu Murata(NTT DoCoMo) / Satoshi Denno(Univ. of Fukui) / Yukitoshi Sanada(NTT) / Hideki Tode(Shinshu Univ.) / Kenta Umebayashi(NICT) / Masayuki Ariyoshi
Assistant Koji Ishii(Kagawa Univ.) / Kentaro Kobayashi(Nagoya Univ.) / Yuichi Igarashi(Hitachi) / Katsuhiro Naito(Aichi Inst. of Tech.) / Kiyohiko Hattori(NICT) / Hiroshi Fujita(Fujitsu Labs.) / Takuro Yonezawa(Keio Univ.) / Jun Mashino(NTT) / Tetsuya Yamamoto(Panasonic) / Takamichi Inoue(NEC) / Tomoya Tandai(Toshiba) / Toshihiko Nishimura(Hokkaido Univ.) / Shohei Kamamura(NTT) / Kazuto Yano(ATR) / Mamiko Inamori(Tokai Univ.) / Hiroyuki Shiba(NTT) / Gia Khanh Tran(Tokyo Inst. of Tech.)

Paper Information
Registration To Technical Committee on Reliable Communication and Control / Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Radio Communication Systems / Technical Committee on Network Systems / Technical Committee on Smart Radio
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sarcasm Detection
Sub Title (in English) How to Identify Sarcastic Statements in Twitter
Keyword(1) Twitter
Keyword(2) sarcasm detection
Keyword(3) sentiment analysis
1st Author's Name Mondher Bouazizi
1st Author's Affiliation Keio University(Keio Univ.)
2nd Author's Name Tomoaki Ohtsuki
2nd Author's Affiliation Keio University(Keio Univ.)
Date 2015-07-29
Paper # ASN2015-21
Volume (vol) vol.115
Number (no) ASN-162
Page pp.pp.7-12(ASN),
#Pages 6
Date of Issue 2015-07-22 (ASN)