Senti‐eSystem : A sentiment‐based eSystem ‐using hybridized fuzzy and deep neural network for measuring customer satisfaction-Reference-Cited by-同舟云学术

Senti‐eSystem : A sentiment‐based eSystem ‐using hybridized fuzzy and deep neural network for measuring customer satisfaction

Author:

Asghar Muhammad Zubair¹,Subhan Fazli²,Ahmad Hussain¹,Khan Wazir Zada³,Hakak Saqib⁴,Gadekallu Thippa Reddy⁵^ORCID,Alazab Mamoun⁶

Affiliation:

1. Institute of Computing and Information Technology Gomal University D.I. Khan (KP) Pakistan

2. National University of Modern Languages (NUML) Islamabad Pakistan

3. Faculty of Computer Science and IS Jazan University Jazan Saudi Arabia

4. Faculty of Computer Science University of Northern British Columbia Prince George Canada

5. School of Information Technology and Engineering Vellore Institute of Technology Vellore India

6. College of Engineering, IT and Environment Charles Darwin University Darwin Australia

Publisher

Wiley

Subject

Software

Link

Reference51 articles.

1. Analyzing customer sentiments using machine learning techniques;Magesh G;Dent Tech,2017

3. Exploring deep neural networks for rumor detection;Asghar MZ;J Ambient Intell Humaniz Comput,2019

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