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Emotion Detection using Lexical Chains

by M. Naveen Kumar, R. Suresh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 4
Year of Publication: 2012
Authors: M. Naveen Kumar, R. Suresh
10.5120/9099-3213

M. Naveen Kumar, R. Suresh . Emotion Detection using Lexical Chains. International Journal of Computer Applications. 57, 4 ( November 2012), 1-4. DOI=10.5120/9099-3213

@article{ 10.5120/9099-3213,
author = { M. Naveen Kumar, R. Suresh },
title = { Emotion Detection using Lexical Chains },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 4 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number4/9099-3213/ },
doi = { 10.5120/9099-3213 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:59:32.645373+05:30
%A M. Naveen Kumar
%A R. Suresh
%T Emotion Detection using Lexical Chains
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 4
%P 1-4
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Emotion detection has become an indispensable task in Natural Language Processing (NLP) in recent times. Emotion detection has been done using various knowledge based and corpus based methods. In this paper, we propose a methodology for emotion detection using lexical chains. Lexical chains easily identify the coherent concepts present in the text and so the emotion detection is also done with much ease. We have handled six types of emotions namely happiness, sadness, anger, fear, disgust and surprise. We have evaluated our method with the existing methods and we have shown better performance.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Lexical chains Emotion Detection Sentiment Analysis

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