Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …
necessity of using automated sentiment analysis techniques has significantly increased …
Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach
Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …
consuming. Researchers use sentiment analysis via natural language processing …
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 …
E-learning course recommendation based on sentiment analysis using hybrid Elman similarity
N Vedavathi, AK KM - Knowledge-Based Systems, 2023 - Elsevier
Online learning is also referred to as E-learning which has gained huge attention and
attracted most people during the COVID-19 lockdowns. Due to the excess of online …
attracted most people during the COVID-19 lockdowns. Due to the excess of online …
CNNRec: Convolutional Neural Network based recommender systems-A survey
Easy internet access and technological advancements have resulted in information overload
and a plethora of options, making decision-making extremely difficult. Recommender …
and a plethora of options, making decision-making extremely difficult. Recommender …
[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 …
A new hybrid approach to detect and track learner's engagement in e-learning
Learner engagement is a critical concept that can lead to satisfaction, motivation, and
success in e-learning courses. It covers contextual, emotional, behavioral, cognitive, and …
success in e-learning courses. It covers contextual, emotional, behavioral, cognitive, and …
A generic architecture of an affective recommender system for e-learning environments
JC Salazar, J Aguilar, J Monsalve-Pulido… - Universal Access in the …, 2023 - Springer
Personalization of suggestions of contents plays a key role in adaptive virtual learning
environments. Good recommendations can raise the interest of students in the learning …
environments. Good recommendations can raise the interest of students in the learning …
Enhancing E-Learning Adaptability with Automated Learning Style Identification and Sentiment Analysis: A Hybrid Deep Learning Approach for Smart Education
T Hussain, L Yu, M Asim, A Ahmed, MA Wani - Information, 2024 - mdpi.com
In smart education, adaptive e-learning systems personalize the educational process by
tailoring it to individual learning styles. Traditionally, identifying these styles relies on …
tailoring it to individual learning styles. Traditionally, identifying these styles relies on …
An exploratory study of mobile-based scenarios for foreign language teaching in early childhood
M Konstantakis, A Lykiardopoulou… - Education …, 2022 - mdpi.com
In today's world, the ability to communicate in a foreign language is more highly prized than
ever by prospective employers, which results in more options and possibilities for students …
ever by prospective employers, which results in more options and possibilities for students …