A Novel Active Learning Method Using SVM for Text Classification

doi:10.1007/s11633-015-0912-z

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	A Novel Active Learning Method Using SVM for Text Classification
	Mohamed Goudjil 3; Mouloud Koudil1 Mouldi Bedda 1; Noureddine Ghoggali 2
刊名	International Journal of Automation and Computing
	2018
卷号	15 期号:3 页码:290-298
关键词	Text categorization active learning support vector machine (SVM) pool-based active learning pairwise coupling.
ISSN号	1476-8186
DOI	10.1007/s11633-015-0912-z
英文摘要	Support vector machines (SVMs) are a popular class of supervised learning algorithms, and are particularly applicable to large and high-dimensional classification problems. Like most machine learning methods for data classification and information retrieval, they require manually labeled data samples in the training stage. However, manual labeling is a time consuming and errorprone task. One possible solution to this issue is to exploit the large number of unlabeled samples that are easily accessible via the internet. This paper presents a novel active learning method for text categorization. The main objective of active learning is to reduce the labeling effort, without compromising the accuracy of classification, by intelligently selecting which samples should be labeled. The proposed method selects a batch of informative samples using the posterior probabilities provided by a set of multi-class SVM classifiers, and these samples are then manually labeled by an expert. Experimental results indicate that the proposed active learning method significantly reduces the labeling effort, while simultaneously enhancing the classification accuracy.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42410]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.AL Jouf University, Sakaka, Kingdom of Saudi Arabia 2.LAAAS laboratory, Facult´e de Technologie, Universite Batna 2, Fesdis, Algeria 3.Ecole nationale Superieure d'Informatique (ESI), Oued Smar, Algiers, Algeria
推荐引用方式 GB/T 7714	Mohamed Goudjil,Mouloud Koudil1 Mouldi Bedda,Noureddine Ghoggali. A Novel Active Learning Method Using SVM for Text Classification[J]. International Journal of Automation and Computing,2018,15(3):290-298.
APA	Mohamed Goudjil,Mouloud Koudil1 Mouldi Bedda,&Noureddine Ghoggali.(2018).A Novel Active Learning Method Using SVM for Text Classification.International Journal of Automation and Computing,15(3),290-298.
MLA	Mohamed Goudjil,et al."A Novel Active Learning Method Using SVM for Text Classification".International Journal of Automation and Computing 15.3(2018):290-298.