SocialCube: A text cube framework for analyzing social media data

Xiong Liu, Kaizhi Tang, Jeffrey Hancock, Jiawei Han, Mitchell Song, Roger Xu, Vikram Manikonda, Bob Pokorny

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

Abstract

The recent development of social media (e.g., Twitter, Facebook, blogs, etc.) provides an unprecedented opportunity to study human social cultural behaviors. These data sources provide rich structured data (e.g., XML, relational tables, and categorical data) as well as unstructured data (e.g., texts). A significant challenge is to summarize and navigate structured data together with unstructured text data for efficient query and analysis. In this paper we introduce a text cube architecture designed to organize social media data in multiple dimensions and hierarchies for efficient information query and visualization from multiple perspectives. For example, an affective process cube allows the analyst to examine public reaction (e.g., sadness, anger) to a range of social phenomena. The text cube architecture also supports the development of prediction models using the summarized statistics stored in a data cube. For example, models that detect events, such as violent protests in the Egyptian Revolution, can be built using the linguistic features stored in an event data cube. These kinds of models represent higher level of knowledge representation and may help to develop more effective strategies for decision-making based on social media data.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012
PublisherIEEE Computer Society
Pages252-259
Number of pages8
ISBN (Print)9780769550152
DOIs
StatePublished - Jan 1 2012
Event2012 ASE International Conference on Social Informatics, SocialInformatics 2012 - Washington, D.C., United States
Duration: Dec 14 2012Dec 16 2012

Publication series

NameProceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012

Other

Other2012 ASE International Conference on Social Informatics, SocialInformatics 2012
CountryUnited States
CityWashington, D.C.
Period12/14/1212/16/12

Keywords

  • Tex cube
  • data mining
  • feature analysis
  • human social cultural behavior
  • language processing
  • social media
  • text mining

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

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