Customer Reviews Classification with Text Mining and Deep Learning Approach (Case Study: Digikala Customers Reviews)
Objective Today, people face different decision-making criteria when purchasing products and services. One of these criteria is using the reviews of the previous purchasers of products and services. A large volume of reviews is seen as a challenge for these people. The present study aimed to create...
Main Author: | Parham Parnian |
---|---|
Format: | Article |
Language: | fas |
Published: |
University of Tehran
2022-12-01
|
Series: | مدیریت بازرگانی |
Subjects: | |
Online Access: | https://jibm.ut.ac.ir/article_90594_e4b76ad7f079c3ad7bbc3b0f429e7c1d.pdf |
Similar Items
-
Deep Learning and Text Mining: Classifying and Extracting Key Information from Construction Accident Narratives
by: Jue Li, et al.
Published: (2023-09-01) -
The nexus between quality of customer relationship management systems and customers' satisfaction: Evidence from online customers’ reviews
by: Mehrbakhsh Nilashi, et al.
Published: (2023-11-01) -
Text mining and semantics: a systematic mapping study
by: Roberta Akemi Sinoara, et al.
Published: (2017-06-01) -
Explain the Causes of Customer Dissatisfaction based on Text Mining Analysis
by: Azim Zarei, et al.
Published: (2021-05-01) -
Deep learning for real-time social media text classification for situation awareness – using Hurricanes Sandy, Harvey, and Irma as case studies
by: Manzhu Yu, et al.
Published: (2019-11-01)