Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text

作者：Munezero Myriam^*; Montero Calkin Suero; Sutinen Erkki; Pajunen John

来源：IEEE Transactions on Affective Computing, 2014, 5(2): 101-111.

DOI：10.1109/TAFFC.2014.2317187

• Affect sensing and analysis
• computation models of emotion

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.

• 出版日期2014-6