Faceted browsing over social media

Ullas Nambiar, Tanveer Faruquie, Shamanth Kumar, Fred Morstatter, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The popularity of social media as a medium for sharing information has made extracting information of interest a challenge. In this work we provide a system that can return posts published on social media covering various aspects of a concept being searched.We present a faceted model for navigating social media that provides a consistent, usable and domain-agnostic method for extracting information from social media. We present a set of domain independent facets and empirically prove the feasibility of mapping social media content to the facets we chose. Next, we show how we can map these facets to social media sites, living documents that change periodically to topics that capture the semantics expressed in them. This mapping is used as a graph to compute the various facets of interest to us. We learn a profile of the content creator, enable content to be mapped to semantic concepts for easy navigation and detect similarity among sites to either suggest similar pages or determine pages that express different views.

Original languageEnglish (US)
Title of host publicationBig Data Analytics - First International Conference, BDA 2012, Proceedings
Pages91-100
Number of pages10
DOIs
StatePublished - Dec 31 2012
Event1st International Conference on Big Data Analytics, BDA 2012 - New Delhi, India
Duration: Dec 24 2012Dec 26 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7678 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Big Data Analytics, BDA 2012
CountryIndia
CityNew Delhi
Period12/24/1212/26/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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