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