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Emotion Detection from Text using Fuzzy Logic
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 121 - Number 3 |
| Year of Publication: 2015 |
| Authors: Saqib Qamar, Parvez Ahmad |
10.5120/21522-4501
|
Saqib Qamar, Parvez Ahmad . Emotion Detection from Text using Fuzzy Logic. International Journal of Computer Applications. 121, 3 ( July 2015), 29-32. DOI=10.5120/21522-4501
Abstract
In this paper we propose to use fuzzy logic in detecting emotional content from text. Fuzzy logic was developed to deal with concepts that do not have well-defined, sharp boundaries, which theoretically is ideal for emotion as no well-defined boundaries are defined for emotion categories (e. g. , happiness, sadness, surprise, fear, disgust, and anger). The transition from one physiological state of emotion to another is also gradual and could easily be modeled by fuzzy logic approach.
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