Muhammad Zubair Asghar

According to our database1, Muhammad Zubair Asghar authored at least 23 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Opinion spam detection framework using hybrid classification scheme.
Soft Comput., 2020

Playing first-person shooter games with machine learning techniques and methods using the VizDoom Game-AI research platform.
Entertain. Comput., 2020

Classification of Poetry Text Into the Emotional States Using Deep Learning Technique.
IEEE Access, 2020

Exploiting Deep Neural Networks for Intention Mining.
Proceedings of the 9th International Conference on Software and Computer Applications, 2020

Applying Deep Neural Networks for Predicting Dark Triad Personality Trait of Online Users.
Proceedings of the 2020 International Conference on Information Networking, 2020

False information detection in online content and its role in decision making: a systematic literature review.
Soc. Netw. Anal. Min., 2019

Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning.
J. Robotics, 2019

Correction to: Detection and classification of social media-based extremist affiliations using sentiment analysis techniques.
Hum. centric Comput. Inf. Sci., 2019

Detection and classification of social media-based extremist affiliations using sentiment analysis techniques.
Hum. centric Comput. Inf. Sci., 2019

Creating sentiment lexicon for sentiment analysis in Urdu: The case of a resource-poor language.
Expert Syst. J. Knowl. Eng., 2019

Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content.
CoRR, 2019

Development of stock market trend prediction system using multiple regression.
Comput. Math. Organ. Theory, 2019

Aspect-based opinion mining framework using heuristic patterns.
Clust. Comput., 2019

Stock Market Trend Prediction using Supervised Learning.
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

T-SAF: Twitter sentiment analysis framework using a hybrid classification scheme.
Expert Syst. J. Knowl. Eng., 2018

Rumor Detection in Business Reviews Using Supervised Machine Learning.
Proceedings of the 5th International Conference on Behavioral, 2018

Sentence-Level Emotion Detection Framework Using Rule-Based Classification.
Cogn. Comput., 2017

Lexical Based Semantic Orientation of Online Customer Reviews and Blogs.
CoRR, 2016

AndorEstimator: Android based Software Cost Estimation Application.
CoRR, 2016

Financial Studio: Android Based Application for Computing Tax, Pension, Zakat and Loan.
CoRR, 2016

Sentiment Analysis on YouTube: A Brief Survey.
CoRR, 2015

An Intelligent Agent for a Vacuum Cleaner.
J. Digit. Content Technol. its Appl., 2009

A Step towards Software Corrective Maintenance Using RCM model
CoRR, 2009