Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Text mining in education

R Ferreira‐Mello, M André, A Pinheiro… - … : Data Mining and …, 2019 - Wiley Online Library
The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …

A multidisciplinary perspective of big data in management research

J Sheng, J Amankwah-Amoah, X Wang - International Journal of …, 2017 - Elsevier
In recent years, big data has emerged as one of the prominent buzzwords in business and
management. In spite of the mounting body of research on big data across the social …

Sentiment analysis of students' feedback with NLP and deep learning: A systematic mapping study

Z Kastrati, F Dalipi, AS Imran, K Pireva Nuci, MA Wani - Applied Sciences, 2021 - mdpi.com
In the last decade, sentiment analysis has been widely applied in many domains, including
business, social networks and education. Particularly in the education domain, where …

Sentiment analysis in education research: a review of journal publications

J Zhou, J Ye - Interactive learning environments, 2023 - Taylor & Francis
Sentiment analysis (SA) is widespread across all fields and has become one of the most
active topics in education research, and there is a growing body of papers published. So far …

Sentiment analysis: a review and comparative analysis over social media

NK Singh, DS Tomar, AK Sangaiah - Journal of Ambient Intelligence and …, 2020 - Springer
Sentiment analysis is the computational examination of end user's opinion, attitudes and
emotions towards a particular topic or product. Sentiment analysis classifies the message …

Affective states in computer-supported collaborative learning: Studying the past to drive the future

RCD Reis, S Isotani, CL Rodriguez, KT Lyra… - Computers & …, 2018 - Elsevier
CSCL investigates ways of promoting students' collaboration through technology. Although
affective states and socio-emotional factors have an important effect on learning, few studies …

Technology in the 21st century: New challenges and opportunities

J Sheng, J Amankwah-Amoah, X Wang - Technological Forecasting and …, 2019 - Elsevier
Although big data, big data analytics (BDA) and business intelligence have attracted
growing attention of both academics and practitioners, a lack of clarity persists about how …

Enriched LDA (ELDA): Combination of latent Dirichlet allocation with word co-occurrence analysis for aspect extraction

M Shams, A Baraani-Dastjerdi - Expert Systems with Applications, 2017 - Elsevier
Aspect extraction is one of the fundamental steps in analyzing the characteristics of
opinions, feelings and emotions expressed in textual data provided for a certain topic …

A study of sentiment analysis algorithms for agricultural product reviews based on improved bert model

Y Cao, Z Sun, L Li, W Mo - Symmetry, 2022 - mdpi.com
With the rise of mobile social networks, an increasing number of consumers are shopping
through Internet platforms. The information asymmetry between consumers and producers …