Record Details

Automated Extraction of Typical Expressions Describing Product Features from Customer Reviews

European Journal of Business Science and Technology

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Field Value
 
Title Automated Extraction of Typical Expressions Describing Product Features from Customer Reviews
 
Creator Barák, Karel
Dařena, František
Žižka, Jan
 
Description The paper presents a procedure that helps in revealing topics hidden in large collections of textual documents (such as customer reviews) related to a certain group of products or services. Together with identification of the groups containing the topics the lists of important expressions is presented which helps in understanding what characterizes these aspects most typically from the semantic point of view. The procedure includes determining an appropriate number of groups representing the prevailing topics, partitioning the documents into a desired number of groups using clustering, extracting significant typical features of documents from each group with application of feature selection methods, and evaluating the outcomes with the assistance of a human expert. The results show that the presented approach, consisting mostly of automated steps, is able to separate and characterize the aspects of a certain product as discussed by the customers and be later useful, e.g., for handling customer complaints, designing promotional campaigns, or improving the products.
 
Publisher Mendel University in Brno
 
Date 2015-12-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.ejobsat.cz/index.php/ejobsat/article/view/27
10.11118/ejobsat.v1i2.27
 
Source European Journal of Business Science and Technology; Vol 1 No 2 (2015); pp. 83–92
2694-7161
2336-6494
 
Language eng
 
Relation https://journal.ejobsat.cz/index.php/ejobsat/article/view/27/pdf_11
 
Rights Copyright (c) 2015 European Journal of Business Science and Technology