6533b7d6fe1ef96bd1267023
RESEARCH PRODUCT
Are they different? affect, feeling, emotion, sentiment, and opinion detection in text
John PajunenMyriam MunezeroErkki SutinenCalkin Suero Monterosubject
ta113ta520business.industrymedia_common.quotation_subjectAffect (psychology)Electronic mailTerminologyHuman-Computer InteractionText miningText processingFeelingCultural diversityComputational linguisticsPsychologybusinessSocial psychologySoftwaremedia_commonCognitive psychologydescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-04-01 | IEEE transactions on affective computing |