Sentiment analysis of reviews in natural language: Roman Urdu as a case study MA Qureshi, M Asif, MF Hassan, A Abid, A Kamal, S Safdar, R Akber IEEE Access 10, 24945-24954, 2022 | 33 | 2022 |
A novel auto-annotation technique for aspect level sentiment analysis MA Qureshi, M Asif, MF Hassan, G Mustafa, MK Ehsan, A Ali, U Sajid Computers, Materials and Continua 70 (3), 4987-5004, 2022 | 23 | 2022 |
A dataset for the sentiment analysis of indo-pak music industry M Asif, MA Qureshi, A Abid, A Kamal 2019 International Conference on Innovative Computing (ICIC), 1-6, 2019 | 14 | 2019 |
Aspect Level Songs Rating Based Upon Reviews in English MA Qureshi, M Asif, S Anwar, U Shaukat, MA Atta ur Rahman, MA Khan, ... TECH SCIENCE PRESS, 2023 | 10 | 2023 |
Roman Urdu Sentiment Analysis of Songs ‘Reviews MA Qureshi, M Asif, MF Khan, A Kamal, B Shahid VFAST Transactions on Software Engineering 11 (1), 101-108, 2023 | 3 | 2023 |
Context-Free Grammar of a New Programming Language for Teaching and Learning MA Qureshi, M Asif, F Feroz VFAST Transactions on Software Engineering 9 (4), 160-166, 2021 | 2 | 2021 |
NewBee: Context-Free Grammar (CFG) of a New Programming Language for Novice Programmers MA Qureshi, M Asif, S Anwar INTELLIGENT AUTOMATION AND SOFT COMPUTING 37 (1), 439-453, 2023 | 1 | 2023 |
Roman Urdu Sentiment Analysis of Reviews on PSL Anthems M Qureshi, M Asif, M Bashir, HM Zain, M Shoaib Lahore Garrison University Research Journal of Computer Science and …, 2022 | 1 | 2022 |