Abstract：In this paper, the authors select social tags which are used to annotate resources as feature items. Text clustering is implemented by K-means, a kind of clustering algorithm, and successfully conducted on small data set. The implementation of primary technology, such as tag filtering, clustering algorithm, in text clustering based on social tagging is discussed in details. By the experiment, it is concluded that text clustering based on social tags performs better than keywords, which can improve the clustering results.
何文静, 何琳. 基于社会标签的文本聚类研究[J]. 现代图书情报技术, 2013, 29(7/8): 49-54.
He Wenjing, He Lin. Research on Text Clustering Based on Social Tagging. New Technology of Library and Information Service, 2013, 29(7/8): 49-54.
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