DocumentCode :
76741
Title :
Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text
Author :
Munezero, Myriam ; Montero, Calkin Suero ; Sutinen, Erkki ; Pajunen, John
Author_Institution :
Sch. of Comput., Univ. of Eastern Finland, Joensuu, Finland
Volume :
5
Issue :
2
fYear :
2014
fDate :
April-June 1 2014
Firstpage :
101
Lastpage :
111
Abstract :
A major limitation in the automatic detection of affect, feelings, emotions, sentiments, and opinions in text is the lack of proper differentiation between these subjective terms and understanding of how they relate to one another. This lack of differentiation not only leads to inconsistency in terminology usage but also makes the subtleties and nuances expressed by the five terms difficult to understand, resulting in subpar detection of the terms in text. In light of such limitation, this paper clarifies the differences between these five subjective terms and reveals significant concepts to the computational linguistics community for their effective detection and processing in text.
Keywords :
computational linguistics; text analysis; affect detection; computational linguistics community; emotion detection; feeling detection; opinion detection; sentiment detection; subjective terms; subpar detection; terminology usage; text processing; Appraisal; Cultural differences; Educational institutions; Electronic mail; Natural language processing; Physiology; Psychology; Affect sensing and analysis; computation models of emotion;
fLanguage :
English
Journal_Title :
Affective Computing, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3045
Type :
jour
DOI :
10.1109/TAFFC.2014.2317187
Filename :
6797872
Link To Document :
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