Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Samuel, Jim"'
Publikováno v:
International journal of information management, 65, 102505 (2022)
Explosive growth in big data technologies and artificial intelligence [AI] applications have led to increasing pervasiveness of information facets and a rapidly growing array of information representations. Information facets, such as equivocality an
Externí odkaz:
http://arxiv.org/abs/2204.11405
Autor:
Rahman, Md. Shahinoor, Paul, Kamal Chandra, Rahman, Md. Mokhlesur, Samuel, Jim, Thill, Jean-Claude, Hossain, Md. Amjad, Ali, G. G. Md. Nawaz
Cities become mission-critical zones during pandemics and it is vital to develop a better understanding of the factors that are associated with infection levels. The COVID-19 pandemic has impacted many cities severely; however, there is significant v
Externí odkaz:
http://arxiv.org/abs/2203.06079
Efficient textual data distributions (TDD) alignment and generation are open research problems in textual analytics and NLP. It is presently difficult to parsimoniously and methodologically confirm that two or more natural language datasets belong to
Externí odkaz:
http://arxiv.org/abs/2107.02025
There has been an increasing interest in and growing need for high performance computing (HPC), popularly known as supercomputing, in domains such as textual analytics, business domains analytics, forecasting and natural language processing (NLP), in
Externí odkaz:
http://arxiv.org/abs/2104.09091
Although companies are exhorted to provide more information to the financial community, it is evident that they choose different paths based upon their strategic emphasis and competitive environments. Our investigation explores the empirical boundary
Externí odkaz:
http://arxiv.org/abs/2008.03443
The Coronavirus pandemic has created complex challenges and adverse circumstances. This research discovers public sentiment amidst problematic socioeconomic consequences of the lockdown, and explores ensuing four potential sentiment associated scenar
Externí odkaz:
http://arxiv.org/abs/2005.10961
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information. There is therefore a tremendous need to address and better understand COVID
Externí odkaz:
http://arxiv.org/abs/2005.10898
Data Visualization has become an important aspect of big data analytics and has grown in sophistication and variety. We specifically identify the need for an analytical framework for data visualization with textual information. Data visualization is
Externí odkaz:
http://arxiv.org/abs/2005.07849
Information exchange and message diffusion have moved from traditional media to social media platforms. Messages on platforms such as Twitter have become the default mode of company communications replacing lengthier public announcements and updates.
Externí odkaz:
http://arxiv.org/abs/2004.09718
Autor:
Samuel, Jim
Publikováno v:
JISTEM - Journal of Information Systems and Technology Management, 2017, vol.14 no.3, On-line version ISSN 1807-1775
Conjunct with the universal acceleration in information growth, financial services have been immersed in an evolution of information dynamics. It is not just the dramatic increase in volumes of data, but the speed, the complexity and the unpredictabi
Externí odkaz:
http://arxiv.org/abs/2004.06642