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Socio-Semantic Analysis

  • Suman Deb RoyEmail author
  • Wenjun Zeng
Chapter
  • 683 Downloads

Abstract

Over the last decade, two computational ideas have fundamentally disrupted how humans receive and consume information. Online Social Networks and Social Media revolutionized information diffusion in societies, compelling traditional media, advertising and technology companies to honor the wisdom of the crowds. This chapter argues that intelligent social media systems need a substantial understanding of the related semantics. The first step in using semantic data is to create a concept graph.  The purpose of this chapter is to utilize the power of semantic graphs in better understanding of social multimedia data. Principally, we want to use semantic graphs for two purposes: (1) categorize semantic textual information based on semantic graphs and (2) finding coherency of social topics (words that are part of the topics extracted from social streams) by projecting these words onto semantic graphs.

Keywords

Resource Description Format Semantic Network Semantic Concept Concept Graph Social Topic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.BetaworksNew YorkUSA
  2. 2.Department of Computer ScienceUniversity of MissouriColumbiaUSA

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