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Arabic Text Categorization Using SVM Active Learning Technique : An Overview
Conference proceeding

Arabic Text Categorization Using SVM Active Learning Technique : An Overview

Mohamed Goudjil, Mouloud Koudil, Nacereddine Hammami, Mouldi Bedda, Meshrif Alruily and IEEE
WORLD CONGRESS ON COMPUTER & INFORMATION TECHNOLOGY (WCCIT 2013)
01/01/2013

Abstract

Computer Science Computer Science, Theory & Methods Engineering Engineering, Electrical & Electronic Science & Technology Technology
Support vector machine is one of the famous techniques used in active learning to reduce the data labeling effort in different fields of pattern recognition. Most of the studies on applying active learning methods to automatic text classification focused on requesting the label of a single unlabeled document in each iteration. In this paper, we present a novel batch mode active learning using SVM for Arabic text classification.

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