APPLICATION OF TEXT MINING TECHNIQUES FOR THE CUSTOMER REVIEWS ANALYSIS Cover Image

ZASTOSOWANIE TECHNIK EKSPLORACJI TEKSTU DO ANALIZY OPINII KONSUMENCKICH
APPLICATION OF TEXT MINING TECHNIQUES FOR THE CUSTOMER REVIEWS ANALYSIS

Author(s): Marcin Olszewski, Tomasz Ząbkowski
Subject(s): Economy, Micro-Economics, Methodology and research technology
Published by: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
Keywords: text mining; association rules; customer reviews;

Summary/Abstract: This paper presents application of one of data mining techniques – association rules to analyze customer reviews, based on the data gathered at one of the American hotels. The application of association rules is due to the large volume of available review data and the fact that the rules can be presented in a very clear and meaningful way. The study resulted in a number of interesting rules that can be a valuable source of information about the quality of services and the perception of the hotel by the clients.

  • Issue Year: XV/2014
  • Issue No: 4
  • Page Range: 101-110
  • Page Count: 10
  • Language: Polish
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