Identifying Significance of Product Features on Customer Satisfaction Recognizing Public Sentiment Polarity: Analysis of Smart Phone Industry Using Machine-Learning Approaches-Reference-Cited by-同舟云学术

Identifying Significance of Product Features on Customer Satisfaction Recognizing Public Sentiment Polarity: Analysis of Smart Phone Industry Using Machine-Learning Approaches

Published:2020-07-06 Issue:11 Volume:34 Page:832-848
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Imtiaz Md. Niaz¹,Ben Islam Md. Khaled¹

Affiliation:

1. Department of Computer Science and Engineering, Pabna University of Science and Technology, Pabna, Bangladesh

Funder

no funding

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2020.1787676

Reference18 articles.

1. Customers’ perceptions in value and food safety on customer satisfaction and loyalty in restaurant environments: moderating roles of gender and restaurant types

2. Choosing Feature Selection and Learning Algorithms in QSAR

3. Impact of service quality on customer satisfaction in Malaysia airlines: A PLS-SEM approach

4. Relationship between customer sentiment and online customer ratings for hotels - An empirical analysis

5. Machine Learning-Based Sentiment Analysis for Twitter Accounts

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