A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
Internet of Things and Big Data as enablers for business digitalization strategies
Digitization blurs the lines between technology and management, facilitating new business
models built upon the concepts, methods and tools of the digital environment. The purpose …
models built upon the concepts, methods and tools of the digital environment. The purpose …
Big data analytics adoption: Determinants and performances among small to medium-sized enterprises
Big data analytics (BDA) adoption is a game-changer in the current industrial environment
for precision decision-making and optimal performance. Nonetheless, the determinants or …
for precision decision-making and optimal performance. Nonetheless, the determinants or …
[HTML][HTML] Applications of big data in emerging management disciplines: A literature review using text mining
AK Kushwaha, AK Kar, YK Dwivedi - International Journal of Information …, 2021 - Elsevier
The importance of data-driven decisions and support is increasing day by day in every
management area. The constant access to volume, variety, and veracity of data has made …
management area. The constant access to volume, variety, and veracity of data has made …
Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda
Artificial intelligence (AI) has been in existence for over six decades and has experienced AI
winters and springs. The rise of super computing power and Big Data technologies appear …
winters and springs. The rise of super computing power and Big Data technologies appear …
Big data for creating and capturing value in the digitalized environment: unpacking the effects of volume, variety, and veracity on firm performance
Despite significant academic and managerial interest in big data, there is a dearth of
research on how big data impacts the long‐term firm performance. Reasons for this gap …
research on how big data impacts the long‐term firm performance. Reasons for this gap …
State-of-the-art of artificial intelligence and big data analytics reviews in five different domains: a bibliometric summary
Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …
[HTML][HTML] Prescriptive analytics: Literature review and research challenges
Business analytics aims to enable organizations to make quicker, better, and more
intelligent decisions with the aim to create business value. To date, the major focus in the …
intelligent decisions with the aim to create business value. To date, the major focus in the …
The value of online surveys: A look back and a look ahead
Purpose The purpose of this paper is to present a detailed and critical look at the evolution
of online survey research since Evans and Mathur's (2005) article on the value of online …
of online survey research since Evans and Mathur's (2005) article on the value of online …
Machine learning based digital twin framework for production optimization in petrochemical industry
Q Min, Y Lu, Z Liu, C Su, B Wang - International Journal of Information …, 2019 - Elsevier
Digital twins, along with the internet of things (IoT), data mining, and machine learning
technologies, offer great potential in the transformation of today's manufacturing paradigm …
technologies, offer great potential in the transformation of today's manufacturing paradigm …