The week's pick
Reseach Article
Emotion Extraction using Rule based and SVM-KNN Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 125 - Number 11 |
| Year of Publication: 2015 |
| Authors: Mohini Chaudhari, Sharvari Govilkar |
10.5120/ijca2015906142
|
Mohini Chaudhari, Sharvari Govilkar . Emotion Extraction using Rule based and SVM-KNN Algorithm. International Journal of Computer Applications. 125, 11 ( September 2015), 32-34. DOI=10.5120/ijca2015906142
Abstract
Language is not only a powerful tool to communicate and convey information but is also a means to express emotion. Emotions are the important factors while interacting socially as emotion can easily connect people and improve health and other aspects of daily life. Emotions manipulate the way human thinks, percept and behave. We propose a hybrid system that consists of a rule-based engine and trained a Support Vector Machine (SVM) classifier. For each possible emotion, a rule-based engine is used to find whether the rule is present or not and if the rule is not present for the emotion, we require the SVM classifier in order to get the proper final decision. A set of syntactic and semantic features are extracted from sentences for building the rules and training the classifier.
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