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SoMEST: a model for detecting competitive intelligence from social media

Published: 28 September 2011 Publication History

Abstract

With the development of social media, the business environment has become more complex and dynamic than ever before. Effective and prompt analysis of social media content provides a business with vital competitive power. In order to maximize the strategic function of social media, we integrate a competitive intelligence analysis method, event timeline analysis, with natural language processing technologies (sentiment analysis, entity and event extraction) and information visualization. This results in a novel social media analysis model, SoMEST. We demonstrate the use of the model with a practical example.

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Cited By

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  • (2018)Competitive Intelligence Using Domain Ontologies on Facebook of Telecommunications Companies of PeruProceedings of the International Conference on Information Technology & Systems (ICITS 2018)10.1007/978-3-319-73450-7_73(777-787)Online publication date: 5-Jan-2018
  • (2015)A conceptual competitive intelligence quality assurance modelJournal of Governance and Regulation10.22495/jgr_v4_i4_c6_p34:4(685-696)Online publication date: 2015
  • (2015)A SMS Information Extraction Architecture to Face Emergency SituationsProgress in Artificial Intelligence10.1007/978-3-319-23485-4_74(735-746)Online publication date: 25-Aug-2015
  • Show More Cited By

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cover image ACM Other conferences
MindTrek '11: Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments
September 2011
341 pages
ISBN:9781450308168
DOI:10.1145/2181037
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 September 2011

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Author Tags

  1. competitive intelligence
  2. event detection
  3. monitoring
  4. natural language processing
  5. sentiment analysis
  6. social media

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MindTrek '11
MindTrek '11: Academic MindTrek 2011
September 28 - 30, 2011
Tampere, Finland

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Overall Acceptance Rate 110 of 207 submissions, 53%

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Cited By

View all
  • (2018)Competitive Intelligence Using Domain Ontologies on Facebook of Telecommunications Companies of PeruProceedings of the International Conference on Information Technology & Systems (ICITS 2018)10.1007/978-3-319-73450-7_73(777-787)Online publication date: 5-Jan-2018
  • (2015)A conceptual competitive intelligence quality assurance modelJournal of Governance and Regulation10.22495/jgr_v4_i4_c6_p34:4(685-696)Online publication date: 2015
  • (2015)A SMS Information Extraction Architecture to Face Emergency SituationsProgress in Artificial Intelligence10.1007/978-3-319-23485-4_74(735-746)Online publication date: 25-Aug-2015
  • (2013)Capabilities and Challenges of Contemporary Service Based Monitoring SystemsPerspectives in Business Informatics Research10.1007/978-3-642-40823-6_22(278-289)Online publication date: 2013

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