SODA

Terminology mining in social media

Sahlgren, Magnus and Karlgren, Jussi (2009) Terminology mining in social media. In: The 18th ACM Conference on Information and Knowledge Management (CIKM 2009), 2-6 Nov 2009, Hong Kong.

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Abstract

The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other user-generated non-editorial texts. This paper discusses and exemplifies a terminology mining approach for dealing with the productive character of the textual environment in social media. We explore the challenges of practically acquiring new terminology, and of modeling similarity and relatedness of terms from observing realistic amounts of data. We also discuss semantic evolution and density, and investigate novel measures for characterizing the preconditions for terminology mining.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Word Space, Distributional Semantics, Random Indexing, Terminology Mining, Social Media, Language Technology, Linguistics
ID Code:3651
Deposited By:SICS Adminstrator
Deposited On:20 Aug 2009
Last Modified:18 Nov 2009 16:25

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