Opinion Group detection based on speech emotion recognition and topic detection in on-line debate
Opinion Group detection based on speech emotion recognition and topic detection in on-line debate
カテゴリ: 部門大会
論文No: SS3-10
グループ名: 【C】平成29年電気学会電子・情報・システム部門大会講演論文集
発行日: 2017/09/06
タイトル(英語): Opinion Group detection based on speech emotion recognition and topic detection in on-line debate
著者名: Jiang anqing(早稲田大学),吉江 修(早稲田大学)
著者名(英語): Anqing Jiang|Osamu Yoshie
要約(日本語): Online communication become popular with the development of Internet. It includes debate, social network communication, E-learning. During the online communication, participant will show their opinion, and participants usually makes group with each other to strengthen their point of view. In this research, we the groups which contain opinion-similar participants are called opinion groups. In previous research, nobody thinking the emotion influence of each participant. If a participant agrees to others opinion, he will usually have positive emotion. Emotion is an essential feature that detection each participants’ opinions. According the emotion and topic we can know which speaker have the same opinion with others.
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