BlogVox: Separating Blog Wheat from Blog Chaff
BlogVox: Separating Blog Wheat from Blog Chaff
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发表时间：
2007-01
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通讯作者：
Akshay Java;Pranam Kolari;Timothy W. Finin;J. Mayfield;A. Joshi;Justin Martineau
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作者：
Akshay Java;Pranam Kolari;Timothy W. Finin;J. Mayfield;A. Joshi;Justin Martineau
博客文章通常写得不正式，结构糟糕，充斥着拼写和语法错误，并以非传统内容为特色。这些特征使它们难以用标准语言分析工具进行处理。对博客进行语言分析受到两个额外问题的困扰：(i)垃圾博客和垃圾评论的存在；（ii）无关的非内容，包括博客卷、链接卷、广告和侧边栏。我们描述了作为BlogVox系统（我们为2006 TREC博客跟踪开发的博客分析引擎）的一部分而开发的用于消除嘈杂博客数据的技术。本文的研究结果强调了从博客收集中删除虚假内容的重要性。
Blog posts are often informally written, poorly structured, rife with spelling and grammatical errors, and feature non-traditional content. These characteristics make them difficult to process with standard language analysis tools. Performing linguistic analysis on blogs is plagued by two additional problems: (i) the presence of spam blogs and spam comments and (ii) extraneous non-content including blog-rolls, link-rolls, advertisements and sidebars. We describe techniques designed to eliminate noisy blog data developed as part of the BlogVox system - a blog analytics engine we developed for the 2006 TREC Blog Track. The findings in this paper underscore the importance of removing spurious content from blog collections.