Advancements and Applications of Urdu Natural Language Processing: A Comprehensive Review with Emphasis on Sentiment Analysis
Volume 18, Issue 1, 2024
Download| Author(s): |
Khalid Bin Muhammad College of Computer Science & Information Systems Karachi, Institute of Business Management Pakistan, kbmcbm@iobm.edu.pk S.M. Aqil Burney College of Computer Science & Information Systems Karachi, Institute of Business Management Pakistan, aqil.burney@iobm.edu.pk |
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| Abstract | Natural Language Processing (NLP), being a sub-branch belonging to human languages spoken and written has gained major consideration in the field of computer science, the interaction of humans with computers has emerged as the latest field and has a lot of potential. Natural Language Processing is used in all areas of modern-day systems in all languages. Urdu, a language spoken in South Asia, has received relatively little attention from researchers compared to extensively studied languages like English. Urdu NLP enhancements in the technology era and its applications in the majority of applications used in modern systems will make systems more usable and comprehensible by Urdu language users worldwide. Companies require people's feelings to be not only gauged but also to respond to them in order to make them satisfied customers enhance the customer base and spread a positive word of mouth. This paper presents a review of the Urdu NLP work done till now, as well as our work done in the field of Urdu sentiments analysis, with a focus on its practical usage and potential applications. Additionally, it addresses the present status of Urdu NLP and offers guidance to researchers on future directions for further advancements in this field. |
| Keywords | Urdu Natural Language Processing (UNLP), Sentiments Analysis, Machine Learning, Deep Learning, Hybrid |
| Year | 2024 |
| Volume | 18 |
| Issue | 1 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/18.1/1.pdf | Page |