Fourth International Conference on Science & Technology Metrics (STMet 2023): Proceedings BITS Pilani, Dubai, UAE. November 16-17, 2023
 

 

Fostering Sentiments: Assessing the Prolific Pursuits of the United Arab Emirates in Sentiment Analysis Research
Avadhesh Kumar Patel and Ghouse Modin Nabeesab Mamdapur
Junior Research Fellow, Department of Library and Information Science Banaras Hindu University, Varanasi-221005, Uttar Pradesh, India., Research Scholar, Department of Library and Information Science, Yenepoya (Deemed to be University), Mangalore-575018,
Abstract: The study conducts a scientometric evaluation of sentiment analysis research in the United Arab Emirates using the Scopus database. It identifies 243 records and observes substantial growth trends in publications, with an average annual growth rate of 78%. The analysis also reveals fluctuations in citation impact over time. Notably, 2022 is a particularly active year for publications in this study. The study finds a correlation coefficient of 0.46 between publications and citations, suggesting a moderate association. The most prolific author, K. Shaalan, hails from the British University. The UAE’s top collaborator is the United Kingdom. Zayed University, British University and the University of Sharjah are among the leading contributors. The majority of publications are articles, conference papers and book chapters. The term ‘Sentiment Analysis’ dominates research output, followed by related terms such as ‘Social Networking’, ‘Data Mining,’ ‘Social Media’, ‘Machine Learning’, ‘Natural Language Processing’ and ‘Deep Learning’. This study underscores the UAE’s growth and impact in sentiment analysis research, reflecting advancements across various industries, businesses, manufacturing, and academic disciplines.
Keywords: Sentiment Analysis, Scientometrics, Scholarly Impact, Natural Language Processing Research Collaboration, United Arab Emirates Fostering Sentiments: Assessing the Prolific Pursuits of the United Arab Emirates in Sentiment Analysis Research
DOI:https://doi.org/10.6025/stm/2023/4/17-30
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