文章基本信息

标题：FEATURES EXTRACTION ALGORITHM FROM SGML FOR CLASSIFICATION
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作者：Zailani Abdullah ; Muhammad Suzuri Hitam
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2007
卷号：3
期号：2
页码：72-78
出版社：Journal of Theoretical and Applied
摘要：The basic phases in text categorization include preprocessing features, extracting relevant features against the features in a database, and finally categorizing a set of documents into predefined categories. Most of the researches in text categorization are focusing more on the development of algorithms and computer techniques. An algorithm for pre-processing features is seem to be like a "black-box" and ignored by them. Thus, it is significant and worthwhile to develop an algorithm for preprocessing features and finally can be used by other beginners before going in depth in the field of text categorization. This research proposes an algorithm for preprocessing features with capability of Microsoft .NET framework technology. The actual implementation shows that, this algorithm can extract interested features from the standard corpus of collection and upload into a relational database.
关键词：Preprocessing ; text categorization ; algorithm ; .net