Blog mining is the application of data mining (in particular, Web mining) techniques on blogs, adapted to the content, format, and language of the medium blog. A blog is a (more or less) frequently updated publication on the Web, sorted in (usually reverse) chronological order of the constituent blog posts. As in other areas of the Web, mining is applied to the content of blogs, to the various types of links between blogs, and to blog-related behavior. The latter comprises blog authoring including link setting, blog reading and commenting, and \hbox{querying} (often in blog search engines). For more details on blogs and on mining them, see text mining for news and blogs analysis.
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(2011). Blog Mining. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_82
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DOI: https://doi.org/10.1007/978-0-387-30164-8_82
Publisher Name: Springer, Boston, MA
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Online ISBN: 978-0-387-30164-8
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