Items where Author is "Sarwar, Raheem"
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Article
Hassan, Saeed-Ul, Aljohani, Naif Radi, Tarar, Usman Iqbal, Safder, Iqra, Sarwar, Raheem ORCID: https://orcid.org/0000-0002-0640-807X, Alelyani, Salem and Nawaz, Raheel
(2023)
Exploiting tweet sentiments in altmetrics large-scale data.
Journal of Information Science, 49 (5).
pp. 1229-1245.
ISSN 0165-5515
Saadany, Hadeel, Mohamed, Emad and Sarwar, Raheem ORCID: https://orcid.org/0000-0002-0640-807X
(2023)
Towards a better understanding of Tarajem: creating topological networks for Arabic biographical dictionaries.
Journal of Data Mining and Digital Humanities, 11.
ISSN 2416-5999
Hassan, Muhammad Umair, Alaliyat, Saleh, Sarwar, Raheem ORCID: https://orcid.org/0000-0002-0640-807X, Nawaz, Raheel and Hameed, Ibrahim A
(2023)
Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: a Norwegian case study.
Heliyon, 9 (4).
e15407-e15407.
ISSN 2405-8440
Mohamed, Emad, Sarwar, Raheem ORCID: https://orcid.org/0000-0002-0640-807X and Mostafa, Sayed
(2022)
Translator attribution for Arabic using machine learning.
Digital Scholarship in the Humanities.
fqac054.
ISSN 2055-7671
Safder, Iqra, Mehmood, Zainab, Sarwar, Raheem, Hassan, Saeed‐Ul, Aljohani, Naif Radi and Nawaz, Raheel ORCID: https://orcid.org/0000-0001-9588-0052
(2021)
Sentiment analysis for Urdu online reviews using deep learning models.
Expert Systems, 38 (8).
e12751.
ISSN 0266-4720
Sarwar, Raheem, Zia, Afifa, Nawaz, Raheel ORCID: https://orcid.org/0000-0001-9588-0052, Fayoumi, Ayman, Aljohani, Naif Radi and Hassan, Saeed-Ul
(2021)
Webometrics: evolution of social media presence of universities.
Scientometrics, 126 (2).
pp. 951-967.
ISSN 0138-9130
Conference or Workshop Item
Silva, Kanishka, Can, Burcu, Blain, Frédéric, Sarwar, Raheem ORCID: https://orcid.org/0000-0002-0640-807X, Ugolini, Laura and Mitkov, Ruslan
(2023)
Authorship attribution of late 19th century novels using GAN-BERT.
In: 61st Annual Meeting of the Association for Computational Linguistics - Student Research Workshop, 10 July 2023 - 12 July 2023, Toronto, Canada.