Issue No. 02 - April-June (2014 vol. 5)
Myriam D. Munezero , School of Computing, University of Eastern Finland, Joensuu, PL 111, Finland
Calkin Suero Montero , School of Computing, University of Eastern Finland, Joensuu, PL 111, Finland
Erkki Sutinen , School of Computing, University of Eastern Finland, Joensuu, PL 111, Finland
John Pajunen , Department of Philosophy, University of Jyväskylä, Seminaarinkatu 15, 40014, Jyväskylä, Finland
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.
Educational institutions, Natural language processing, Cultural differences, Physiology, Psychology, Electronic mail, Appraisal
M. D. Munezero, C. S. Montero, E. Sutinen and J. Pajunen, "Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text," in IEEE Transactions on Affective Computing, vol. 5, no. 2, pp. , 2014.