Research Article
Emotion Detection using Lexical Chains
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 57 - Issue 4 |
| Published: November 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 },
year = { 2012 },
volume = { 57 },
number = { 4 },
pages = { 1-4 },
doi = { 10.5120/9099-3213 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A M. Naveen Kumar
%A R. Suresh
%T Emotion Detection using Lexical Chains%T
%J International Journal of Computer Applications
%V 57
%N 4
%P 1-4
%R 10.5120/9099-3213
%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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