Automatic Emotion Recognition and Classification

被引：9

作者：

Ezhilarasia, R. ^{[1
]}

Minu, R. I. ^{[2
]}

机构：

[1] Anna Univ Technol Chennai, Jerusalem Coll Engn, Madras, Tamil Nadu, India

[2] Anna Univ Technol, Jerusalem Coll Engn, Madras, Tamil Nadu, India

来源：

INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING | 2012年 / 38卷

关键词：

ontology; Natural Language Processing; affective computing; WordNet;

D O I：

10.1016/j.proeng.2012.06.004

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Emotions are important part of human communication. In this paper emotion is automatically detected from text. Understanding the meaning of language is the goal of Natural Language Processing and also understanding emotion is one of goals of affective computing. Those two areas of artificial intelligent have recently come together for understanding emotion in text. This paper describes a English emotion ontology based on WordNet and its construction. The ontology is used to understand, classify and recognize emotion in English sentence. Using the ontology the emotion will be predicted by Natural Language Processing. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Noorul Islam Centre for Higher Education.

引用

页码：21 / 26

页数：6

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