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An Approach For Automatic Analysis Of Online Store Product And Services Reviews

Author

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  • Snezhana Dineva Sulova

    (Department of Informatics, University of economics – Varna, Bulgaria)

Abstract

One of the advantages of e-commerce systems is that they enable customers and merchants to become acquainted with product and services reviews. Currently in the most popular online stores there are hundreds and even thousands of reviews for certain goods, which contain valuable information about the quality of t he offered assortment. This is the reason to look for ways for their computer processing. The article proposes an approach for automated analysis of customer reviews, based on natural language processing technology and application of methods of machine learning. À model for analysis and its implementation with the software product RapidMiner are proposed.

Suggested Citation

  • Snezhana Dineva Sulova, 2016. "An Approach For Automatic Analysis Of Online Store Product And Services Reviews," Business & Management Compass, University of Economics Varna, issue 4, pages 455-467.
    • Handle: RePEc:vrn:journl:y:2016:i:4:p:455-467
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    File URL: http://journal.ue-varna.bg/uploads/20170209015130_1020793383589c73e237487.pdf
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    Cited by:

    1. Radostina Petrova, 2019. "Communication-based Auto-control in Construction and Repair Activities," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 8(2), pages 110-119, August.

    More about this item

    Keywords

    data mining; web mining; opinion mining; sentiment analysis; Support Vector Machines; Naive Bayes; e-commerce; RapidMiner;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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