講演名 2015-07-29
Sarcasm Detection
Mondher Bouazizi(慶大), Tomoaki Ohtsuki(慶大),
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抄録(和) 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.
抄録(英) 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.
キーワード(和) Twitter / sarcasm detection / sentiment analysis
キーワード(英) Twitter / sarcasm detection / sentiment analysis
資料番号 ASN2015-21
発行日 2015-07-22 (ASN)

研究会情報
研究会 RCC / ASN / RCS / NS / SR
開催期間 2015/7/29(から3日開催)
開催地(和) JA長野県ビル
開催地(英) JA Naganoken Bldg.
テーマ(和) 無線分散ネットワーク,M2M (Machine-to-Machine),D2D (Device-to-Device),一般
テーマ(英) Wireless Distributed Network, M2M: Machine-to-Machine, D2D (Device-to-Device),etc.
委員長氏名(和) 片山 正昭(名大) / 東條 弘(NTT) / 太郎丸 真(福岡大) / 平松 淳(NTT-AT) / 藤井 威生(電通大)
委員長氏名(英) Masaaki Katayama(Nagoya Univ.) / Hiroshi Tohjo(NTT) / Makoto Taromaru(Fukuoka Univ.) / Atsushi Hiramatsu(NTT-AT) / Takeo Fujii(Univ. of Electro-Comm.)
副委員長氏名(和) 原 晋介(阪市大) / 三浦 龍(NICT) / 関屋 大雄(千葉大) / 岡田 啓(名大) / 吉原 貴仁(KDDI研) / 村田 英一(京大) / 田野 哲(岡山大) / 眞田 幸俊(慶大) / 戸出 英樹(阪府大) / 梅林 健太(東京農工大) / 有吉 正行(NEC)
副委員長氏名(英) 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)
幹事氏名(和) 林 和則(京大) / 小林 孝一(北大) / 塩川 茂樹(神奈川工科大) / 清水 芳孝(NTT) / 岡崎 彰浩(三菱電機) / 須山 聡(NTTドコモ) / 橘 拓至(福井大) / 前田 英樹(NTT) / 田久 修(信州大) / 石津 健太郎(NICT)
幹事氏名(英) Kazunori Hayashi(Kyoto Univ.) / Koichi Kobayashi(Hokkaido Univ.) / Shigeki Shiokawa(Kanagawa Inst. of Tech.) / Yoshitaka Shimizu(NTT) / Akihiro Okazaki(Mitsubishi Electric) / Satoshi Suyama(NTT DoCoMo) / Takuji Tachibana(Univ. of Fukui) / Hideki Maeda(NTT) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT)
幹事補佐氏名(和) 石井 光治(香川大) / 小林 健太郎(名大) / 五十嵐 悠一(日立) / 内藤 克浩(愛知工大) / 服部 聖彦(NICT) / 藤田 裕志(富士通研) / 米澤 拓郎(慶大) / 増野 淳(NTT) / 山本 哲矢(パナソニック) / 井上 高道(NEC) / 旦代 智哉(東芝) / 西村 寿彦(北大) / 鎌村 星平(NTT) / 矢野 一人(ATR) / 稲森 真美子(東海大) / 芝 宏礼(NTT) / Gia Khanh Tran(東工大)
幹事補佐氏名(英) 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.)

講演論文情報詳細
申込み研究会 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
本文の言語 ENG
タイトル(和)
サブタイトル(和)
タイトル(英) Sarcasm Detection
サブタイトル(和) How to Identify Sarcastic Statements in Twitter
キーワード(1)(和/英) Twitter / Twitter
キーワード(2)(和/英) sarcasm detection / sarcasm detection
キーワード(3)(和/英) sentiment analysis / sentiment analysis
第 1 著者 氏名(和/英) Mondher Bouazizi / Mondher Bouazizi
第 1 著者 所属(和/英) Keio University(略称:慶大)
Keio University(略称:Keio Univ.)
第 2 著者 氏名(和/英) Tomoaki Ohtsuki / Tomoaki Ohtsuki
第 2 著者 所属(和/英) Keio University(略称:慶大)
Keio University(略称:Keio Univ.)
発表年月日 2015-07-29
資料番号 ASN2015-21
巻番号(vol) vol.115
号番号(no) ASN-162
ページ範囲 pp.7-12(ASN),
ページ数 6
発行日 2015-07-22 (ASN)