Competitive intelligence using domain ontologies on facebook of telecommunications companies of Peru

Geraldo Colchado, Andrés Melgar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Telecommunications companies (TELCOs) in Peru offers promotions almost daily in social networks, mainly Facebook. There’s a lot of data in Facebook, written in natural language without meaning for computer, that TELCOs are not using to have Competitive Intelligence (CI). CI is a process that identifies decision makers information needs about competitors, collects data from public sources, gives meaning and analyze data to answer information needs and communicates results to decision makers. This paper proposes and implements a CI process for TELCOs that includes collection of 15,634 posts and 1,411,921 comments from Facebook, the creation process of TELCO ontology with 119 words and 27 concepts and classification of posts, a Web application to perform semantic search of posts and compare the results by TELCO including positive and negative comments to have CI for decision making. The proposed CI process can be used in other contexts with several competitors with equivalent services.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Information Technology and Systems, ICITS 2018
EditorsAlvaro Rocha, Teresa Guarda
PublisherSpringer Verlag
Pages777-787
Number of pages11
ISBN (Print)9783319734491
DOIs
StatePublished - 2018
EventInternational Conference on Information Technology and Systems, ICITS18 - Libertad city, Ecuador
Duration: 11 Jan 201713 Jan 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume721
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Information Technology and Systems, ICITS18
Country/TerritoryEcuador
CityLibertad city
Period11/01/1713/01/17

Keywords

  • Competitive intelligence
  • Decision maker
  • Facebook
  • Natural language processing
  • Ontology
  • Sentiment analysis
  • Social network

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