Realtime social sensing of support rate for microblogging

Jun Huang, Mizuho Iwaihara

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

1 Citation (Scopus)

Abstract

This paper proposes realtime estimation of support rate based on social sensors. Nowadays, micro blogs like Twitter have gained wide popularity, especially among the youth for its capability of updating personal opinions in a realtime manner. Academically, they have received tremendous attention as well. We argue that realtime events that have great influence on the attitudes of Twitter users can be detected by strategically monitoring tweets on certain topics. Building on the collected data, sentiment analysis enables us to calculate percentage of positive tweets, namely, support rate. In particular, given Twitter’s realtime nature, the support rate calculation shall also be done in realtime. Drawing on World Cup 2010, we collect a large amount of tweets and carry out analysis so as to extract sentiment information of the audience and go further to show the realtime support rate of the participators.

Original languageEnglish
Title of host publicationDatabase Systems for Adanced Applications - 16th International Conference, DASFAA 2011, International Workshops
Subtitle of host publicationGDB, SIM3, FlashDB, SNSMW, DaMEN, DQIS, Proceedings
EditorsJianliang Xu, Ge Yu, Shuigeng Zhou, Rainer Unland
PublisherSpringer Verlag
Pages357-368
Number of pages12
ISBN (Print)9783642202438
DOIs
Publication statusPublished - 2011 Jan 1
Event16th International Conference on Database Systems for Advanced Applications, DASFAA 2011 - Hong Kong, China
Duration: 2011 Apr 222011 Apr 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6637 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Conference on Database Systems for Advanced Applications, DASFAA 2011
CountryChina
CityHong Kong
Period11/4/2211/4/25

Keywords

  • Event detection
  • Realtime
  • Sentiment classification
  • Support rate

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Huang, J., & Iwaihara, M. (2011). Realtime social sensing of support rate for microblogging. In J. Xu, G. Yu, S. Zhou, & R. Unland (Eds.), Database Systems for Adanced Applications - 16th International Conference, DASFAA 2011, International Workshops: GDB, SIM3, FlashDB, SNSMW, DaMEN, DQIS, Proceedings (pp. 357-368). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6637 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-20244-5_34