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BlogVox: Separating Blog Wheat from Blog Chaff

Authors: Akshay Java, Pranam Kolari, Tim Finin, James Mayfield, Anupam Joshi, and Justin Martineau

Book Title: Proceedings of the Workshop on Analytics for Noisy Unstructured Text Data, 20th International Joint Conference on Artificial Intelligence (IJCAI-2007)

Date: January 07, 2007

Abstract: 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.

Type: InProceedings

Tags: blog, social media, spam, slogs

Google Scholar: RLWcRRhNOBoJ

Number of Google Scholar citations: 8 [show citations]

Number of downloads: 2853

 

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