Emotion Classification of Text Based Conversations Through Dialog Act Modeling

被引：0
|
作者：
Gorer, Binnur [1 ]
机构：
[1] Bogazici Univ, Bilgisayar Muhendisligi Bolumu, TR-80815 Bebek, Turkey
来源：
2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2014年
关键词：
emotion classification for text based conversations; dialog act modeling; natural language processing;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Automatic emotion classification from text based conversations is relatively novel and difficult natural language processing task. General approaches evaluate the conversations as plain text and do not consider the temporal flow through the dialogs. In this paper, we propose a classification method which combines state of the art natural language processing approaches with dialog act modeling.
引用
收藏
页码：2221 / 2224
页数：4
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