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Publication search results
found 42 matches
- 2024
- Mamoona Shabbir, Muhammad Majid:
Sentiment Analysis From Urdu Language-based Text using Deep Learning Techniques. ICACS 2024: 1-5 - 2023
- Muhammad Rehan Ashraf, Yasmeen Jana, Qasim Umer
, M. Arfan Jaffar, Sungwook Chung
, Waheed Yousuf Ramay
:
BERT-Based Sentiment Analysis for Low-Resourced Languages: A Case Study of Urdu Language. IEEE Access 11: 110245-110259 (2023) - Amna Altaf, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Usama Ijaz Bajwa:
Exploiting Linguistic Features for Effective Sentence-Level Sentiment Analysis in Urdu Language. Multim. Tools Appl. 82(27): 41813-41839 (2023) - Neha Singh
, Umesh Chandra Jaiswal:
Sentiment Analysis Based on Urdu Reviews Using Hybrid Deep Learning Models. Appl. Comput. Syst. 28(2): 258-265 (2023) - Kanwal Ahmed
, Muhammad Imran Nadeem
, Dun Li, Zhiyun Zheng, Nouf Al-Kahtani
, Hend Khalid Alkahtani
, Samih Mohemmed Mostafa
, Orken Mamyrbayev
:
Contextually Enriched Meta-Learning Ensemble Model for Urdu Sentiment Analysis. Symmetry 15(3): 645 (2023) - Khalid Bin Muhammad
, S. M. Aqil Burney:
Innovations in Urdu Sentiment Analysis Using Machine and Deep Learning Techniques for Two-Class Classification of Symmetric Datasets. Symmetry 15(5): 1027 (2023) - 2022
- Arfan Ali Nagra, Khalid Alissa, Taher M. Ghazal, Saigeeta Kukunuru, Muhammad Mugees Asif, Muhammad Fawad:
Deep Sentiments Analysis for Roman Urdu Dataset Using Faster Recurrent Convolutional Neural Network Model. Appl. Artif. Intell. 36(1) (2022) - Muhammad Aasim Qureshi
, Muhammad Asif
, Mohd Fadzil Hassan, Adnan Abid, Asad Kamal, Sohail Safdar, Rehan Akbar
:
Sentiment Analysis of Reviews in Natural Language: Roman Urdu as a Case Study. IEEE Access 10: 24945-24954 (2022) - Ihsan Ullah Khan, Aurangzeb Khan, Wahab Khan, Mazliham Mohd Su'ud, Muhammad Mansoor Alam
, Fazli Subhan, Muhammad Zubair Asghar
:
A Review of Urdu Sentiment Analysis with Multilingual Perspective: A Case of Urdu and Roman Urdu Language. Comput. 11(1): 3 (2022) - Riyaz Shaik, S. Venkatramaphanikumar
:
Sentiment analysis with word-based Urdu speech recognition. J. Ambient Intell. Humaniz. Comput. 13(5): 2511-2531 (2022) - Muhammad Irzam Liaqat, Muhammad Awais Hassan, Muhammad Shoaib, Syed Khaldoon Khurshid, Mohamed A. Shamseldin
:
Sentiment analysis techniques, challenges, and opportunities: Urdu language-based analytical study. PeerJ Comput. Sci. 8: e1032 (2022) - Iffraah Rehman, Tariq Rahim Soomro
:
Urdu Sentiment Analysis. Appl. Comput. Syst. 27(1): 30-42 (2022) - Neelam Mukhtar
, Mohammad Abid Khan, Nadia Chiragh, Shah Nazir, Asim Ullah Jan:
An Intelligent Unsupervised Approach for Handling Context-Dependent Words in Urdu Sentiment Analysis. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(5): 92:1-92:15 (2022) - Toqir Ahmad Rana, Kiran Shahzadi, Tauseef Rana, Ahsan Arshad
, Mohammad Tubishat:
An Unsupervised Approach for Sentiment Analysis on Social Media Short Text Classification in Roman Urdu. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 28:1-28:16 (2022) - Lal Khan, Ammar Amjad, Hsien-Tsung Chang:
Urdu Corpus Sentiment Analysis. IEEE DataPort, 2022 - 2021
- Muhammad Zain Ali
, Ehsan ul Haq, Sahar Rauf, Kashif Javed, Sarmad Hussain:
Improving Hate Speech Detection of Urdu Tweets Using Sentiment Analysis. IEEE Access 9: 84296-84305 (2021) - Lal Khan
, Ammar Amjad
, Noman Ashraf
, Hsien-Tsung Chang
, Alexander F. Gelbukh
:
Urdu Sentiment Analysis With Deep Learning Methods. IEEE Access 9: 97803-97812 (2021) - Uzma Naqvi, Abdul Majid, Syed Ali Abbas
:
UTSA: Urdu Text Sentiment Analysis Using Deep Learning Methods. IEEE Access 9: 114085-114094 (2021) - Urooba Sehar
, Summrina Kanwal
, Kia Dashtipour, Usama Mir, Ubaid Abbasi
, Faiza Khan
:
Urdu Sentiment Analysis via Multimodal Data Mining Based on Deep Learning Algorithms. IEEE Access 9: 153072-153082 (2021) - Iqra Safder, Zainab Mahmood, Raheem Sarwar
, Saeed-Ul Hassan
, Farooq Zaman, Rao Muhammad Adeel Nawab, Faisal Bukhari, Rabeeh Ayaz Abbasi, Salem Alelyani, Naif Radi Aljohani, Raheel Nawaz
:
Sentiment analysis for Urdu online reviews using deep learning models. Expert Syst. J. Knowl. Eng. 38(8) (2021) - Tooba Tehreem:
Sentiment Analysis for YouTube Comments in Roman Urdu. CoRR abs/2102.10075 (2021) - 2020
- Faiza Mehmood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shahzadi, Waqar Mahmood, Muhammad Nabeel Asim
:
A Precisely Xtreme-Multi Channel Hybrid Approach for Roman Urdu Sentiment Analysis. IEEE Access 8: 192740-192759 (2020) - Neelam Mukhtar
, Mohammad Abid Khan:
Effective lexicon-based approach for Urdu sentiment analysis. Artif. Intell. Rev. 53(4): 2521-2548 (2020) - Khawar Mehmood, Daryl Essam
, Kamran Shafi, Muhammad Kamran Malik:
An unsupervised lexical normalization for Roman Hindi and Urdu sentiment analysis. Inf. Process. Manag. 57(6): 102368 (2020) - Zarmeen Nasim
, Sayeed Ghani:
Sentiment Analysis on Urdu Tweets Using Markov Chains. SN Comput. Sci. 1(5): 269 (2020) - Khawar Mehmood, Daryl Essam
, Kamran Shafi, Muhammad Kamran Malik
:
Sentiment Analysis for a Resource Poor Language - Roman Urdu. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 10:1-10:15 (2020) - Aqsa Younas
, Raheela Nasim, Saqib Ali
, Guojun Wang, Fang Qi:
Sentiment Analysis of Code-Mixed Roman Urdu-English Social Media Text using Deep Learning Approaches. CSE 2020: 66-71 - Sadaf Rani, Muhammad Waqas Anwar:
Resource Creation and Evaluation of Aspect Based Sentiment Analysis in Urdu. AACL/IJCNLP (Student Research Workshop) 2020: 79-84 - Faiza Memood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shehzadi, Muhammad Nabeel Asim:
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis. CoRR abs/2003.05443 (2020) - Irfan Qutab, Khawar Iqbal Malik, Hira Arooj:
Sentiment Analysis for Roman Urdu Text over Social Media, a Comparative Study. CoRR abs/2010.16408 (2020)
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