IWD Based Feature Selection Algorithm for Sentiment Analysis
Feature selection methods aim to improve the classification performance by eliminating non-valuable features. In this paper, our aim is to apply a recent optimization technique namely the Intelligent Water Drops (IWD) algorithm to select best features for sentiment analysis. We investigate the class...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Kaunas University of Technology
2019-02-01
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| Series: | Elektronika ir Elektrotechnika |
| Subjects: | |
| Online Access: | http://eejournal.ktu.lt/index.php/elt/article/view/22736 |