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

331 citations · 486 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2022★ 93 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.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…

cs.IR2020★ 21 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.IR2020★ 331 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…

cs.SI2020★ 27 cited

A Picture for the Words! Textual Visualization in Big Data Analytics

Cherilyn Conner, Jim Samuel, Andrey Kretinin +2

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 f…

cs.CY2020★ 14 cited

Beyond STEM, How Can Women Engage Big Data, Analytics, Robotics and Artificial Intelligence? An Exploratory Analysis of Confidence and Educational Factors in the Emerging Technology Waves Influencing the Role of, and Impact Upon, Women

Yana Samuel, Jean George, Jim Samuel

In spite of the rapidly advancing global technological environment, the professional participation of women in technology, big data, analytics, artificial intelligence and informat…