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Emotion Detection using Lexical Chains

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 57 - Number 4
Year of Publication: 2012
Authors:
M. Naveen Kumar
R. Suresh
10.5120/9099-3213

Naveen M Kumar and R Suresh. Article: Emotion Detection using Lexical Chains. International Journal of Computer Applications 57(4):1-4, November 2012. Full text available. BibTeX

@article{key:article,
	author = {M. Naveen Kumar and R. Suresh},
	title = {Article: Emotion Detection using Lexical Chains},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {57},
	number = {4},
	pages = {1-4},
	month = {November},
	note = {Full text available}
}

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.

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