Fuzzy logic for decision extraction from product reviews
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Date
2018
Authors
Altabbaa, Mhd Tahssin
Ayabakan, Tarik
Öğrenci, Arif Selçuk
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
Most of manufacturers and merchants sell their products via internet websites where customers buy them and write their reviews regarding the purchased product. These reviews carry a lot of information. Prospective customers are heavily interested in the experience of the predecessor customers where enormous number of reviews are offered by the website per product. In this study given a dataset of reviews we give a solution to estimate a total score of sentiment for the product reviewed. For this purpose fuzzy logic is used to process the subjective comments and to obtain a reliable average estimation for the decision from those individual reviews. The method is executed over different models to search the effects of the frequency of features on the outcome. © 2017 IEEE.
Description
Keywords
Fuzzy inference, Product reviews, Sentiment
Turkish CoHE Thesis Center URL
Citation
0
WoS Q
N/A
Scopus Q
N/A
Source
Volume
Issue
Start Page
82
End Page
85