The Second International Conference on Computer Science, Engineering and Applications (CCSEA-2012)
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CONTRIBUTORS:
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JOURNAL:
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EMOTION DETECTION FROM TEXT,
2(2),
371 -
377.
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YEAR:
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2012
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PUB TYPE:
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Journal Article
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SUBJECT(S):
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Textual Emotion Detection; Emotion Word Ontology; Human-Computer Interaction
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DISCIPLINE:
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Computer Science
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HTTP:
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http://airccj.org/CSCP/vol2/csit2237.pdf
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LANGUAGE:
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English
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PUB ID:
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103-502-969
(Last edited on
2012/05/22 05:06:03 GMT-6)
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SPONSOR(S):
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ABSTRACT:
Emotion can be expressed in many ways that can be seen such as facial expression and
gestures, speech and by written text. Emotion Detection in text documents is essentially a
content – based classification problem involving concepts from the domains of Natural
Language Processing as well as Machine Learning. In this paper emotion recognition based on
textual data and the techniques used in emotion detection are discussed.
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