Words Clustering Based on Keywords Indezing from Large-scale Categorization Corpora

摘要：

Keywords are indexed automatically for large-scale categorization corpora. Indexed keywords of more than 20 documents are selected as seed words, thus overcoming subjectivity of selecting seed words in clustering; at the same time, clustering is limited to particular category corpora and keywords indexed feature extraction method is adopted to obtain domanial words automatically, thus reducing noise of similarity calculation.

作者: Liu Hua

作者单位: College of Chinese Language and Culture,Jinan University,Guangzhou,510610,China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 407-410

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）