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Market Analysis Using Computational Intelligence: An Application for GSM Operators Based on Twitter Comments

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Intelligent Techniques in Engineering Management

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 87))

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.

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Authors and Affiliations

  1. Istanbul Technical University, Istanbul, 34367, Turkey

    Basar Oztaysi, Ceren Öner & Dilek H. Beyhan

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  1. Basar Oztaysi
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  2. Ceren Öner
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  3. Dilek H. Beyhan
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Correspondence to Basar Oztaysi .

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Editors and Affiliations

  1. Department of Industrial Engineering Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University Management Faculty, Istanbul, Turkey

    Sezi Çevik Onar

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Oztaysi, B., Öner, C., Beyhan, D.H. (2015). Market Analysis Using Computational Intelligence: An Application for GSM Operators Based on Twitter Comments. In: Kahraman, C., Çevik Onar, S. (eds) Intelligent Techniques in Engineering Management. Intelligent Systems Reference Library, vol 87. Springer, Cham. https://doi.org/10.1007/978-3-319-17906-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-17906-3_19

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