一种通过主题选择描述文档内容的方法

Alexander Gelbukh, G. Sidorov, A. Guzmán-Arenas
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引用次数: 19

摘要

给定一个大型的分层概念字典,考虑选择描述给定文档内容的概念的任务。问题在于如何正确处理层次结构中的顶级概念。作为文档的表示,使用主题的直方图及其在文档中的各自贡献。贡献是通过将文档与字典中每个主题的“理想”文档进行比较来确定的。一个概念的“理想”文档是只包含属于这个概念的关键字,与它们在训练语料库中的出现次数成比例。提出了一种快速的度量比较算法。讨论了该方法在系统分类器中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method of describing document contents through topic selection
Given a large hierarchical dictionary of concepts, the task of selection of the concepts that describe the contents of a given document is considered. The problem consists in proper handling of the top-level concepts in the hierarchy. As a representation of the document, a histogram of the topics with their respective contribution in the document is used. The contribution is determined by comparison of the document with the "ideal" document for each topic in the dictionary. The "ideal" document for a concept is one that contains only the keywords belonging to this concept, in proportion to their occurrences in the training corpus. A fast algorithm of comparison for some types of metrics is proposed. The application of the method in a system classifier is discussed.
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