# <scp>Senti‐eSystem</scp>: A sentiment‐based <scp>eSystem</scp>‐using hybridized fuzzy and deep neural network for measuring customer satisfaction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/scp-senti-esystem-scp-a-sentiment-based-scp-esystem-scp-using-hybridized-fuzzy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Zubair Asghar,Fazli Subhan,Hussain Ahmad,Wazir Zada Khan,Saqib Hakak,Thippa Reddy Gadekallu,Mamoun Alazab |
| Citations | 81 |
| DOI | 10.1002/spe.2853 |
| Fields | Computer Science,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3030953462 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Muhammad Zubair Asghar](https://scholariq.org/researchers/muhammad-zubair-asghar/)

## Paper primary topic

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

## Paper topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Digital Marketing and Social Media](https://scholariq.org/topics/digital-marketing-and-social-media/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.