A Novel Active Learning Method Using SVM for Text Classification

doi:10.1007/s11633-015-0912-z

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	A Novel Active Learning Method Using SVM for Text Classification
	Mohamed Goudjil 1; Mouloud Koudil1 Mouldi Bedda 2; Noureddine Ghoggali 3
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2018
卷号	15 期号:3 页码:290-298
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.
关键词	Text categorization active learning support vector machine (SVM) pool-based active learning pairwise coupling.
DOI	10.1007/s11633-015-0912-z
引用统计	被引频次：97[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42410
专题	学术期刊_Machine Intelligence Research
作者单位	1.Ecole nationale Superieure d'Informatique (ESI), Oued Smar, Algiers, Algeria 2.AL Jouf University, Sakaka, Kingdom of Saudi Arabia 3.LAAAS laboratory, Facult´e de Technologie, Universite Batna 2, Fesdis, 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.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
IJAC-2014-10-272.pdf（720KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载