Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text
Top Cited Papers
- 14 April 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Affective Computing
- Vol. 5 (2), 101-111
- https://doi.org/10.1109/taffc.2014.2317187
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
Funding Information
- ¿Detecting and Visualizing Emotions and their Changes in Text¿ (No. 14166)
- Academy of Finland
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