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Junaid Wahid
PeerJ Author
135 Points

Contributions by role

Author 135

Contributions by subject area

Artificial Intelligence
Data Mining and Machine Learning
Data Science

Junaid Abdul Wahid

PeerJ Author

Summary

JUNAID ABDUL WAHID was born in Rahim Yar khan, Punjab, Pakistan, He received his M.S. degree in Information technology from Quaid-i-Azam University, Islamabad, Pakistan. He is currently pursuing his Ph.D. degree majoring in software engineering from the School of Information Engineering, Zhengzhou University, China. He has been a lecturer in the Computer Science Department at NCBA & E, Rahim Yar Khan Campus, from 2017 to 2018. He already published a research article in the Applied Sciences journal by MDPI, and also in International conference proceedings of ACM digital Library which is indexed by EI compendex and Scopus. His research interests include e-government, big data analysis, social media data analytic, machine learning, natural language processing, smart cities, and data mining.

Artificial Intelligence Computational Linguistics Data Mining & Machine Learning Data Science Natural Language & Speech Social Computing

Work details

Student

Zhengzhou University
September 2018 - August 2022
School of Information Engineering
PhD Scholar

PeerJ Contributions

  • Articles 1
August 11, 2021
Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions
Junaid Abdul Wahid, Lei Shi, Yufei Gao, Bei Yang, Yongcai Tao, Lin Wei, Shabir Hussain
https://doi.org/10.7717/peerj-cs.677