Topic extraction from news archive using TF*PDF algorithm

Proceedings of the Third International Conference on Web Information Systems Engineering, 2002. WISE 2002. Pub Date : 2002-12-12 DOI:10.1109/WISE.2002.1181645

Khoo Khyou Bun, M. Ishizuka

引用次数: 131

Abstract

Since the Web became widespread, the amount of electronically available information online, especially news archives, has proliferated and threatens to become overwhelming. We propose an information system that will extract main topics in a news archive on a weekly basis. By obtaining a weekly report, a user can know what the main news events were in the past week.

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利用TF*PDF算法从新闻档案中提取主题

自从网络普及以来，网上电子信息的数量，尤其是新闻档案，已经激增，并有势不可挡的危险。我们提出了一个信息系统，将提取主要议题的新闻档案在每周的基础上。通过获取周报，用户可以了解过去一周的主要新闻事件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings of the Third International Conference on Web Information Systems Engineering, 2002. WISE 2002.

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