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Automatically Generation of blogs’ Tag and Tag Cloud in Special Domain

机译:在特殊域中自动生成博客的标签和标签云

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摘要

Currently, social tagging system mining has gradually become popularly used for Web 2.0 applications and services. Due to a lack of an effective user tag recommendation system for large-scale Chinese blog, how to automatically generate proper tags for a blog is a challenging issue. This paper approaches the problem by designing and developing a system to automatically generate tags and tag cloud for a Chinese blog. After text segmentation, keywords extraction and tag generation, this system calculates the top weight keyphrases as recommended tags and shows a tag cloud. According to the time charts of user tag in the special domain, we can find and track hot events and analyze the reasons for the changes.
机译:当前,社交标签系统挖掘已逐渐广泛用于Web 2.0应用程序和服务。由于缺乏针对大型中文博客的有效用户标签推荐系统,如何为博客自动生成合适的标签是一个具有挑战性的问题。本文通过设计和开发为中文博客自动生成标签和标签云的系统来解决该问题。经过文本分割,关键词提取和标签生成之后,该系统将权重最高的关键词短语计算为推荐标签,并显示标签云。根据特定领域中用户标签的时间表,我们可以查找和跟踪热点事件,并分析发生变化的原因。

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