Predicting E-commerce customer satisfaction: Traditional machine learning vs. deep learning approaches-Reference-Cited by-同舟云学术

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Predicting E-commerce customer satisfaction: Traditional machine learning vs. deep learning approaches

Published:2024-07 Issue: Volume:79 Page:103865
ISSN:0969-6989
Container-title:Journal of Retailing and Consumer Services
language:en
Short-container-title:Journal of Retailing and Consumer Services

Author:

Zaghloul Maha^ORCID,Barakat Sherif,Rezk Amira

Publisher

Elsevier BV

Reference54 articles.

1. Review rating prediction framework using deep learning;Ahmed;J. Ambient Intell. Hum. Comput.,2022

2. Study of AdaBoost and Gradient Boosting Algorithms for Predictive Analytics;Bahad,2020

3. A deep learning approach in predicting products' sentiment ratings: a comparative analysis;Balakrishnan;J. Supercomput.,2022

4. Sentiment classification of online consumer reviews using word vector representations;Bansal;Procedia Comput. Sci.,2018

5. Sentiment analysis of Bengali texts on online tech gadget reviews using machine learning;Bappon,2022

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4. AI and Machine Learning in E-Commerce Security;Advances in Web Technologies and Engineering;2024-08-30

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