Sentiment Analysis of Reviews in Natural Language: Roman Urdu as a Case Study
Saved in:
| Main Authors: | Qureshi, M.A., Asif, M., Hassan, M.F., Abid, A., Kamal, A., Safdar, S., Akber, R. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.28799 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124833996&doi=10.1109%2fACCESS.2022.3150172&partnerID=40&md5=24218b44dcaaf385ddb4450b32d55a24 http://eprints.utp.edu.my/28799/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel auto-annotation technique for aspect level sentiment analysis
by: Qureshi, M.A., et al.
Published: (2022) -
Refined Urdu Lexicon Development K-Means Clustering Based Computational Model Using Colloquial Romanized Urdu Dataset
by: Baseer, F., et al.
Published: (2020) -
Mechanism to continue system availability during cyber threat scenario
by: Safdar, S., et al.
Published: (2017) -
Systematic review of life cycle assessment and life cycle cost analysis for pavement and a case study
by: Alaloul, W.S., et al.
Published: (2021) -
Context and machine learning based trust management framework for internet of vehicles
by: Rehman, A., et al.
Published: (2021)