Abstract
A growing number of companies begin to realize that data is a valuable resource and declare a data-driven approach to be a fundamental one. In this context certain advantages can be gained by analyzing customer opinions in the form of reviews posted on various web resources. In the paper, we analyze customer product reviews on the base of statistical approaches of Text Mining and machine learning models. The reviews were collected from Russian sites of popular online stores. Data analysis to solve classification problems was carried out in the R environment for statistical analysis. Despite not taking into account word order and relations between words within the bag-of-words model, the results show that a statistical approach to analyzing reviews in the case of classification allows achieving high results irrespective of a vector encoding type of a text. #CSOC1120
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Tuchkova, P., Sufiyanov, V. (2020). Statistical Analysis for Customer Product Reviews in Russian Internet Segment Using Text Mining. In: Silhavy, R. (eds) Intelligent Algorithms in Software Engineering. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1224. Springer, Cham. https://doi.org/10.1007/978-3-030-51965-0_36
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DOI: https://doi.org/10.1007/978-3-030-51965-0_36
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