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	A Dynamic Centroid Text Classification Approach by Learning from Unlabeled Data
	Jiang, Cuicui; Zhu, Dingju; Jiang, Qingshan
	2013
会议名称	3rd International Conference on Multimedia Technology (ICMT)
会议地点	Guangzhou, PEOPLES R CHINA
英文摘要	The centroid-based classification has proved to be a simple and yet efficient method for text classification. However, the performance of centroid-based classifier depends heavily on the quantity of labeled training set. It is easy and cheap to collect enormous unlabeled data from digital resources, while it is difficult and costly to label these data for training classifiers. To address this problem, we propose a dynamic centroid text classification approach which learns from unlabeled texts to construct dynamic centroids. The main idea of the approach is to take the unlabeled texts with high classifying confidence into consideration to adjust the centroids dynamically. Experiments on two public corpora have indicated the effectiveness of our text classification approach in the case of spare labeled training set.
收录类别	ISTP
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5130]
专题	深圳先进技术研究院_数字所
作者单位	2013
推荐引用方式 GB/T 7714	Jiang, Cuicui,Zhu, Dingju,Jiang, Qingshan. A Dynamic Centroid Text Classification Approach by Learning from Unlabeled Data[C]. 见:3rd International Conference on Multimedia Technology (ICMT). Guangzhou, PEOPLES R CHINA.

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