Opinion mining for national security: techniques, domain applications, challenges and research opportunities

NAM Razali, NA Malizan, NA Hasbullah, M Wook… - Journal of big …, 2021‏ - Springer
Background Opinion mining, or sentiment analysis, is a field in Natural Language
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …

Indian government E-learning initiatives in response to COVID-19 crisis: A case study on online learning in Indian higher education system

M Singh, SO Adebayo, M Saini, J Singh - Education and Information …, 2021‏ - Springer
Recently, the whole world has faced the deadliest and dangerous consequences due to the
transmission of infectious novel coronavirus (nCov). With the outbreak of COVID-19, the …

Analysis of customer reviews with an improved VADER lexicon classifier

K Barik, S Misra - Journal of Big Data, 2024‏ - Springer
Background The importance of customer reviews in determining satisfaction has significantly
increased in the digital marketplace. Using sentiment analysis in customer reviews has …

A survey of the literature: how scholars use text mining in Educational Studies?

J Yang, Kinshuk, Y An - Education and Information Technologies, 2023‏ - Springer
The massive amount of text related to education provides rich information to support
education in many aspects. In the meantime, the vast yet increasing volume of text makes it …

Aspect2Labels: A novelistic decision support system for higher educational institutions by using multi-layer topic modelling approach

S Hussain, M Ayoub, G Jilani, Y Yu, A Khan… - Expert Systems with …, 2022‏ - Elsevier
Aspect-based sentiment analysis (ABSA) has gained a rising concentration recently. It aims
to provide a set of aspect terms and sentiments from a piece of text. Educational Data Mining …

Do emojis really help us to communicate better? Investigating instructor credibility, students' learning motivation, and performance

JKM Sia, ISH Hii, L Jong, WW Low - Education and Information …, 2024‏ - Springer
Extensive research has been conducted to investigate the role of emojis in interpretation,
impression, perceptions, personality and relationship building. However, in the higher …

Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques

S Elmitwalli, J Mehegan - Frontiers in big Data, 2024‏ - frontiersin.org
Introduction Sentiment analysis has become a crucial area of research in natural language
processing in recent years. The study aims to compare the performance of various sentiment …

Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education

A Verma, A Singh, E Lughofer, X Cheng… - Journal of Computing in …, 2021‏ - Springer
Sustainable quality education is a big challenge even for the developed countries. In
response to this, education 4.0 is gradually expanding as a new era of education. This work …

Ses-net: A novel multi-task deep neural network model for analyzing e-learning users' satisfaction via sentiment, emotion, and semantic

S Sandiwarno, Z Niu, AS Nyamawe - International Journal of …, 2024‏ - Taylor & Francis
Understanding users' satisfaction is fundamental for enhancing the effectiveness and
usability of e-learning platforms. The existing approaches for analyzing users' satisfaction …

Emotion analysis method of teaching evaluation texts based on deep learning in big data environment

L Li - Computational intelligence and neuroscience, 2022‏ - Wiley Online Library
Accurate emotion analysis of teaching evaluation texts can help teachers effectively improve
the quality of education and teaching. In order to improve the precision and accuracy of …