Market analysis using computational intelligence: An application for GSM operators based on Twitter comments

Basar Oztaysi*, Ceren Öner, Dilek H. Beyhan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Users all around the world widely publish contents and leave comments about products/services they experienced in social networking sites. With the emerging computational intelligence approaches, the data can be processed and transformed to valuable knowledge. In this study, we propose a methodology based on computational intelligence techniques for market analysis. In the proposed approach, first customers’ comments are collected automatically, then sentiment analysis is applied to each message using artificial neural networks. At the third phase, themes of messages are determined using text mining and clustering techniques. In order to represent the outcomes of the computational intelligence, a real world example from GSM operators in Turkey is given.

Original languageEnglish
Pages (from-to)483-501
Number of pages19
JournalIntelligent Systems Reference Library
Volume87
DOIs
Publication statusPublished - 2015

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

Keywords

  • Artificial neural networks
  • GSM operator
  • Sentiment analysis
  • Social network
  • Text mining

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