A hybrid E-learning recommendation integrating adaptive profiling and sentiment analysis
This research proposes a novel framework named Enhanced e-Learning Hybrid
Recommender System (ELHRS) that provides an appropriate e-content with the highest …
Recommender System (ELHRS) that provides an appropriate e-content with the highest …
Augmented language model with deep learning adaptation on sentiment analysis for E-learning recommendation
Sentiment Analysis is considered as an important research field in text mining, and is
significant in recommendation systems and e-learning environments. This research …
significant in recommendation systems and e-learning environments. This research …
[HTML][HTML] Semantics aware intelligent framework for content-based e-learning recommendation
E-learning accounts for the emergence of re-skilling, up-skilling, and augmenting the
traditional education system by providing knowledge delivery. The meaningful learning …
traditional education system by providing knowledge delivery. The meaningful learning …
Semantics-aware context-based learner modelling using normalized PSO for personalized E-learning
E-learning proves its importance in the diverse educational levels over traditional education.
An adaptive e-learning system needs to deduce the learner model for adding …
An adaptive e-learning system needs to deduce the learner model for adding …
Fine-grained sentiment-enhanced collaborative filtering-based hybrid recommender system
R Alatrash, R Priyadarshini - Journal of Web Engineering, 2023 - ieeexplore.ieee.org
Developing online educational platforms necessitates the incorporation of new intelligent
procedures in order to improve long-term student experience. Presently, e-learning …
procedures in order to improve long-term student experience. Presently, e-learning …
Recommendation Method of Online Teaching Resources in Colleges and Universities Considering Different User Preference Factors
H Zhang - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
In order to improve the recommendation performance of online teaching resources in
colleges and universities and the learning efficiency of users, this paper considers user …
colleges and universities and the learning efficiency of users, this paper considers user …
Collaborative filtering integrated fine-grained sentiment for hybrid recommender system
Developing online educational platforms necessitates the incorporation of new intelligent
procedures in order to improve long-term student experience. Presently, e-learning …
procedures in order to improve long-term student experience. Presently, e-learning …
Ontology alignment evaluation for online assessment of e-learners: a new e-learning management system
Purpose This paper aims to propose a new assessment system module for handling the
comprehensive answers written through the answer interface. Design/methodology …
comprehensive answers written through the answer interface. Design/methodology …
A hybrid recommendation integrating semantic learner modelling and sentiment multi-classification
Enhancing virtual learning platforms need to adapt new intelligent mechanisms so that long-
term learner experience can be improved. Sentiment Analysis gives us perception on how a …
term learner experience can be improved. Sentiment Analysis gives us perception on how a …
Advancing Automated and Adaptive Educational Resources Through Semantic Analysis with BERT and GRU in English Language Learning.
VM Jayakumar, R Rajakumari… - International …, 2024 - search.ebscohost.com
Abstract Semantics describe how language and its constituent parts are understood or
interpreted. Semantic analysis is the computer analysis of language to derive connections …
interpreted. Semantic analysis is the computer analysis of language to derive connections …