Social media big data analytics: A survey
Big data analytics has recently emerged as an important research area due to the popularity
of the Internet and the advent of the Web 2.0 technologies. Moreover, the proliferation and …
of the Internet and the advent of the Web 2.0 technologies. Moreover, the proliferation and …
Factors affecting the E-learning acceptance: A case study from UAE
The main objective of this article is to study the factors that affect university students'
acceptance of E-learning systems. To achieve this objective, we have proposed a new …
acceptance of E-learning systems. To achieve this objective, we have proposed a new …
Social media data analytics for business decision making system to competitive analysis
J Yang, P **u, L Sun, L Ying, B Muthu - Information Processing & …, 2022 - Elsevier
For the past few years, business intelligence has been a major field that uses data analysis
to produce key information as part of business decision-making. Data collected from social …
to produce key information as part of business decision-making. Data collected from social …
Machine learning and deep learning techniques for cybersecurity: a review
In this review, significant literature surveys on machine learning (ML) and deep learning
(DL) techniques for network analysis of intrusion detection are explained. In addition, it …
(DL) techniques for network analysis of intrusion detection are explained. In addition, it …
Factors affecting the social networks acceptance: an empirical study using PLS-SEM approach
There is an increase in the number of studies being carried out on the acceptance of social
media applications. Nonetheless, the identification of the factors affecting its acceptance in …
media applications. Nonetheless, the identification of the factors affecting its acceptance in …
Using text mining techniques for extracting information from research articles
Nowadays, research in text mining has become one of the widespread fields in analyzing
natural language documents. The present study demonstrates a comprehensive overview …
natural language documents. The present study demonstrates a comprehensive overview …
Predicting the intention to use social media sites: a hybrid SEM-machine learning approach
The study conducted aims to form a conceptual model to calculate the pupils' acceptance of
social media in education and its factors. Although the amount of research done on the …
social media in education and its factors. Although the amount of research done on the …
The effects of subjective norm on the intention to use social media networks: an exploratory study using PLS-SEM and machine learning approach
Several research has been conducted on social media application's acceptance, but factors
that impact educational purposes are completely ignored in this research. Therefore, the …
that impact educational purposes are completely ignored in this research. Therefore, the …