activity
20202022
most citedCOVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

331 citations · 526 across the 10 of their papers we have counts for

collaborators

11 papers

cs.HC202293 cited

Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations

Jim Samuel, Rajiv Kashyap, Yana Samuel +1

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 in…

cs.CL20211 cited

Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts, with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment

Jim Samuel, Ratnakar Palle, Eduardo Correa Soares

Efficient textual data distributions (TDD) alignment and generation are open research problems in textual analytics and NLP. It is presently difficult to parsimoniously and methodo…

cs.CY2021

Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics

Jim Samuel, Margaret Brennan-Tonetta, Yana Samuel +2

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 do…

q-fin.GN20201 cited

Transparency versus Performance in Financial Markets: The Role of CSR Communications

Rajiv Kashyap, Mohamed Menisy, Peter Caiazzo +1

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 compe…

cs.IR202021 cited

Feeling Like It is Time to Reopen Now? COVID-19 New Normal Scenarios based on Reopening Sentiment Analytics

Jim Samuel, Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali +2

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research discovers public sentiment amidst problematic socioeconomic consequences of the loc…

cs.IR2020331 cited

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman +2

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…