期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2014
卷号：4
期号：6
页码：51
DOI：10.5121/ijdkp.2014.4605
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Emotion Detection is one of the most emerging issues in human computer interaction. A sufficient amountof work has been done by researchers to detect emotions from facial and audio information whereasrecognizing emotions from textual data is still a fresh and hot research area. This paper presented aknowledge based survey on emotion detection based on textual data and the methods used for this purpose.At the next step paper also proposed a new architecture for recognizing emotions from text document.Proposed architecture is composed of two main parts, emotion ontology and emotion detector algorithm.Proposed emotion detector system takes a text document and the emotion ontology as inputs and producesone of the six emotion classes (i.e. love, joy, anger, sadness, fear and surprise) as the output.
关键词：Textual Emotion Detection; Emotion Word Ontology; Human-Computer Interaction
