Comprehensive review of text-mining applications in finance
Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …
every sector of finance have grown immensely, text mining has emerged as an important …
Mining in educational data: review and future directions
One of the developing fields of the present times is educational data mining that pertains to
developing methods that help in examining various kinds of data obtained from the …
developing methods that help in examining various kinds of data obtained from the …
The effectiveness of Microsoft Office 365 as an online english learning media
MB Simanjuntak, M Suseno… - UICELL Conference …, 2022 - garuda.kemdikbud.go.id
This study aims whether: 1) Microsoft Office 365 is more effective than conventional methods
in teaching writing; 2) Microsoft Office 365 is more effective than other online learning media; …
in teaching writing; 2) Microsoft Office 365 is more effective than other online learning media; …
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 Xiu, 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
M Alshurideh, SA Salloum, B Al Kurdi… - Proceedings of the 2019 …, 2019 - dl.acm.org
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 …