The Extraction of Buzzwords for Micro-Blogs

Abstract:

This paper proposes a method of buzzwords extraction for micro-blogs using buzzwords word-formation features and event correlation. This method includes four important steps. The first step finds out all the candidate words from micro-blog topics by using repeated string searching algorithm. The second step filters the candidate words based on the repeat string properties and language model. The third step extracts the candidate buzzwords through the constraint of words role relationship and special structure model. The last step is to filter the buzzwords according to the words event correlation. The experiments show that the method is accurately and efficiently to extract buzzwords.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 2840-2844
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.2840
• Online since: May 2014
• Authors: Wei Lin Ye*
• Keywords: Buzzwords, Event, Micro-Blogs, Repeated Strings, Role Relationship

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