[HTML][HTML] Covid-19 public sentiment insights and machine learning for tweets classification

J Samuel, GGMN Ali, MM Rahman, E Esawi, Y Samuel - Information, 2020 - mdpi.com
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 …

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

J Samuel, R Kashyap, Y Samuel, A Pelaez - International journal of …, 2022 - Elsevier
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 …

Feeling positive about reopening? New normal scenarios from COVID-19 US reopen sentiment analytics

J Samuel, MM Rahman, GGMN Ali, Y Samuel… - Ieee …, 2020 - ieeexplore.ieee.org
The Coronavirus pandemic has created complex challenges and adverse circumstances.
This research identifies public sentiment amidst problematic socioeconomic consequences …

[HTML][HTML] Socioeconomic factors analysis for COVID-19 US reopening sentiment with Twitter and census data

MM Rahman, GGMN Ali, XJ Li, J Samuel, KC Paul… - Heliyon, 2021 - cell.com
Investigating and classifying sentiments of social media users (eg, positive, negative)
towards an item, situation, and system are very popular among researchers. However, they …

Analyzing Indian general public's perspective on anxiety, stress and trauma during Covid-19-a machine learning study of 840,000 tweets

SV Praveen, R Ittamalla, G Deepak - Diabetes & Metabolic Syndrome …, 2021 - Elsevier
Background and aims Ever since COVID-19 was declared a pandemic by WHO in late
March 2020, more and more people began to share their opinions online about the anxiety …

[HTML][HTML] Public perceptions of COVID-19 vaccines: Policy implications from US spatiotemporal sentiment analytics

GGMN Ali, MM Rahman, MA Hossain, MS Rahman… - Healthcare, 2021 - mdpi.com
There is a compelling and pressing need to better understand the temporal dynamics of
public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for …

Feeling like it is time to reopen now? covid-19 new normal scenarios based on reopening sentiment analytics

J Samuel, MM Rahman, GG Ali, Y Samuel… - arXiv preprint arXiv …, 2020 - arxiv.org
The Coronavirus pandemic has created complex challenges and adverse circumstances.
This research discovers public sentiment amidst problematic socioeconomic consequences …

Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content …

MD Garvey, J Samuel, A Pelaez - Decision Support Systems, 2021 - Elsevier
An understudied area in the field of social media research is the design of decision support
systems that can aid the manager by way of automated message component generation …

A picture for the words! textual visualization in big data analytics

C Conner, J Samuel, A Kretinin, Y Samuel… - arXiv preprint arXiv …, 2020 - arxiv.org
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 …

An analysis of attitude of general public toward COVID-19 crises–sentimental analysis and a topic modeling study

P SV, R Ittamalla - Information Discovery and Delivery, 2021 - emerald.com
Purpose It has been eight months into the global pandemic health crises COVID-19, yet the
severity of the crises is just getting worse in many parts of the world. At this stage, it is …