Along with the Coronavirus pandemic, another crisis has manifested itself in form of mass fear and panic phenomena, fueled by incomplete often inaccurate information. There is therefore a tremendous need to address better understand COVID-19's informational gauge public sentiment, so that appropriate messaging policy decisions can be implemented. In this research article, we identify sentiment associated pandemic using specific Tweets R statistical software, along its analysis packages. We...

Along with the Coronavirus pandemic, another crisis has manifested itself in form of mass fear and panic phenomena, fueled by incomplete often inaccurate information. There is therefore a tremendous need to address better understand COVID-19’s informational gauge public sentiment, so that appropriate messaging policy decisions can be implemented. In this research article, we identify sentiment associated pandemic using specific Tweets R statistical software, along its analysis packages. We...

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research identifies public sentiment amidst problematic socioeconomic consequences of the lockdown, explores ensuing four potential associated scenarios. severity brutality COVID-19 have led to development extreme feelings, emotional mental healthcare challenges. focuses on - presence fear, confusion volatile sentiments, mixed along with trust anticipation. It is necessary gauge dominant trends for...

Explosive growth in big data technologies and artificial intelligence (AI) applications have led to increasing pervasiveness of information facets a rapidly growing array representations. Information facets, such as equivocality veracity, can dominate significantly influence human perceptions consequently affect performance. Extant research cognitive fit, which preceded the AI era, focused on effects aligning representation task performance, without sufficient consideration attendant...

Artificial Intelligence (AI) has become ubiquitous in human society, and yet vast segments of the global population have no, little, or counterproductive information about AI. It is necessary to teach AI topics on a mass scale. While there rush implement academic initiatives, scant attention been paid unique challenges teaching curricula culturally diverse audience with varying expectations privacy, technological autonomy, risk preference, knowledge sharing. Our study fills this void by...

Data Visualization has become an important aspect of big data analytics and grown in sophistication variety. We specifically identify the need for analytical framework visualization with textual information. is a powerful mechanism to represent data, but usage specific graphical representations needs be better understood classified validate appropriate representation contexts avoid distorted depictions underlying data. prominent approaches discuss their characteristics. use multiple graph...

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research discovers public sentiment amidst problematic socioeconomic consequences of the lockdown, explores ensuing four potential associated scenarios. severity brutality COVID-19 have led to development extreme feelings, emotional mental healthcare challenges. identifies - presence fear, confusion volatile sentiments, mixed along with trust anticipation. It is necessary gauge dominant trends for...

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research discovers public sentiment amidst problematic socioeconomic consequences of the lockdown, explores ensuing four potential associated scenarios. severity brutality COVID-19 have led to development extreme feelings, emotional mental healthcare challenges. identifies - presence fear, confusion volatile sentiments, mixed along with trust anticipation. It is necessary gauge dominant trends for...

Explosive growth in big data technologies and artificial intelligence (AI) applications have led to increasing pervasiveness of information facets a rapidly growing array representations. Information facets, such as equivocality veracity, can dominate significantly influence human perceptions consequently affect performance. Extant research cognitive fit, which preceded the AI era, focused on effects aligning representation task performance, without sufficient consideration attendant...

Along with the Coronavirus pandemic, another crisis has manifested itself in form of mass fear and panic phenomena, fueled by incomplete often inaccurate information. There is therefore a tremendous need to address better understand COVID-19's informational gauge public sentiment, so that appropriate messaging policy decisions can be implemented. In this research article, we identify sentiment associated pandemic using specific Tweets R statistical software, along its analysis packages. We...

Along with the Coronavirus pandemic, another crisis has manifested itself in form of mass fear and panic phenomena, fuelled by incomplete often inaccurate information. There is therefore a tremendous need to address better understand COVID-19's informational gauge public sentiment, so that appropriate messaging policy decisions can be implemented. In this research article, we identify sentiment associated pandemic using specific Tweets R statistical software, along its analysis packages. We...

Abstract The Coronavirus pandemic has created complex challenges and adverse circumstances. This research identifies public sentiment amidst problematic socioeconomic consequences of the lockdown, explores ensuing four potential associated scenarios. severity brutality COVID-19 have led to development extreme feelings, emotional mental healthcare challenges. focuses on - presence fear, confusion volatile sentiments, mixed along with trust anticipation. It is necessary gauge dominant trends...

There has been an increasing interest in and growing need for high performance computing (HPC), popularly known as supercomputing, domains such textual analytics, business forecasting natural language processing (NLP), addition to the relatively mature supercomputing of quantum physics biology. HPC widely used computer science (CS) other traditionally computation intensive disciplines, but remained largely siloed away from vast array social, behavioral, economics disciplines. However, with...

In spite of the rapidly advancing global technological environment, professional participation women in technology, big data, analytics, artificial intelligence and information systems related domains remains proportionately low. Furthermore, it is no less concern that number leadership these are even lower proportions. numerous initiatives to improve domains, there an increasing need gain additional insights into this phenomenon especially since occurs nations geographies which have seen a...

Abstract Along with the Coronavirus pandemic, another crisis has manifested itself in form of mass fear and panic phenomena, fueled by incomplete often inaccurate information. There is therefore a tremendous need to address better understand COVID-19’s informational gauge public sentiment, so that appropriate messaging policy decisions can be implemented. In this research article, we identify sentiment associated pandemic using specific Tweets R statistical software, along its analysis...

There has been an increasing interest in and growing need for high performance computing (HPC), popularly known as supercomputing, domains such textual analytics, business forecasting natural language processing (NLP), addition to the relatively mature supercomputing of quantum physics biology. HPC widely used computer science (CS) other traditionally computation intensive disciplines, but remained largely siloed away from vast array social, behavioral, economics disciplines. However, with...

<title>Abstract</title> Quantum Machine Learning (QML) offers tremendous potential but is currently limited by the availability of qubits. We introduce an innovative approach that utilizes pre-trained neural networks to enhance Variational Circuits (VQC). This technique effectively separates approximation error from qubit count and removes need for restrictive conditions, making QML more viable real-world applications. Our method significantly improves parameter optimization VQC while...

There has been an increasing interest in and growing need for high performance computing (HPC), popularly known as supercomputing, domains such textual analytics, business forecasting natural language processing (NLP), addition to the relatively mature supercomputing of quantum physics biology. HPC widely used computer science (CS) other traditionally computation intensive disciplines, but remained largely siloed away from vast array social, behavioral, economics disciplines. However, with...