# Muhammad Zubair Asghar

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/muhammad-zubair-asghar/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,988 |
| Field | Sentiment Analysis and Opinion Mining |
| h-index | 24 |
| i10-index | 44 |
| Last Known Institution | Gomal University |
| OpenAlex ID | https://openalex.org/A5101673627 |
| ORCID iD | 0000-0003-3196-7823 |
| Works | 106 |

## Researcher papers

- [Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model](https://scholariq.org/papers/automatic-detection-of-citrus-fruit-and-leaves-diseases-using-deep-neural/)
- [Detection and classification of social media-based extremist affiliations using sentiment analysis techniques](https://scholariq.org/papers/detection-and-classification-of-social-media-based-extremist-affiliations-using/)
- [A Review of Feature Extraction in Sentiment Analysis](https://scholariq.org/papers/a-review-of-feature-extraction-in-sentiment-analysis/)
- [<scp>Senti‐eSystem</scp>: A sentiment‐based <scp>eSystem</scp>‐using hybridized fuzzy and deep neural network for measuring customer satisfaction](https://scholariq.org/papers/scp-senti-esystem-scp-a-sentiment-based-scp-esystem-scp-using-hybridized-fuzzy/)
- [A Hybrid Deep Learning Technique for Personality Trait Classification From Text](https://scholariq.org/papers/a-hybrid-deep-learning-technique-for-personality-trait-classification-from-text/)
- [Customer churn prediction using composite deep learning technique](https://scholariq.org/papers/customer-churn-prediction-using-composite-deep-learning-technique/)
- [SentiHealth: creating health-related sentiment lexicon using hybrid approach](https://scholariq.org/papers/sentihealth-creating-health-related-sentiment-lexicon-using-hybrid-approach/)
- [Detection and Scoring of Internet Slangs for Sentiment Analysis Using SentiWordNet](https://scholariq.org/papers/detection-and-scoring-of-internet-slangs-for-sentiment-analysis-using/)
- [A survey on sentiment analysis in Urdu: A resource-poor language](https://scholariq.org/papers/a-survey-on-sentiment-analysis-in-urdu-a-resource-poor-language/)
- [Lexicon-Based Sentiment Analysis in the Social Web](https://scholariq.org/papers/lexicon-based-sentiment-analysis-in-the-social-web/)

## Researcher topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)

## Researcher university

- [Gomal University](https://scholariq.org/institutions/gomal-university/)

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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.