Performing Subjectivity Classification in Text Using Support Vector Machine
DOI:
https://doi.org/10.21015/vtcs.v15i3.541Abstract
In this paper, I address the problem of the subjectivity classification in text. The subjective text is opinion bearing, whereas the objective text is text without expressing opinions. The supervised learning technique namely, Support Vector Machine (SVM) is used to classify the text as subjective and objective. A publically available dataset of drug reviews is used to conduct the experiments using WEKA platform. The experimental results show that the proposed SVM classifier performed better than the other classifiersReferences
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