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 …

[HTML][HTML] Semantics aware intelligent framework for content-based e-learning recommendation

H Ezaldeen, SK Bisoy, R Misra, R Alatrash - Natural Language Processing …, 2023 - Elsevier
E-learning accounts for the emergence of re-skilling, up-skilling, and augmenting the
traditional education system by providing knowledge delivery. The meaningful learning …

Deep Learning-Based Recommendation System: Systematic Review and Classification

C Li, I Ishak, H Ibrahim, M Zolkepli, F Sidi, C Li - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …

Personalized tourism product design focused on tourist expectations and online reviews: An integrated MCDM method

X Liu, MY Li, YM Ma, TH Gao, DN Yuan - Computers & Industrial …, 2024 - Elsevier
The key to the success of tourism product design is meeting the personalized demand of
consumers. This study aims to develop a personalized travel product design method that …

[HTML][HTML] Systematic Literature Review: Analisis Sentimen Berbasis Deep Learning

F Fitroh, F Hudaya - Jurnal Nasional Teknologi dan Sistem …, 2023 - teknosi.fti.unand.ac.id
Systematic literature review ini bertujuan untuk mengetahui tren penelitian analisis sentimen
berbasis deep learning antara tahun 2020-2023. Fokus kajiannya adalah pada pemahaman …

1D convolutional neural networks-based soil fertility classification and fertilizer prescription

M Sujatha, CD Jaidhar, M Lingappa - Ecological Informatics, 2023 - Elsevier
Sustainable agriculture is essential to meet the demands of the global population. An
adequate application of fertilizers is essential for sustainable agricultural productivity. This …

[HTML][HTML] Enhancing E-Learning Adaptability with Automated Learning Style Identification and Sentiment Analysis: A Hybrid Deep Learning Approach for Smart …

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 …

A Cognitively Inspired Multi-granularity Model Incorporating Label Information for Complex Long Text Classification

L Gao, Y Liu, J Zhu, Z Yu - Cognitive Computation, 2024 - Springer
Because the abstracts contain complex information and the labels of abstracts do not
contain information about categories, it is difficult for cognitive models to extract …

Book recommendation system: reviewing different techniques and approaches

P Devika, A Milton - International Journal on Digital Libraries, 2024 - Springer
E-reading has become more popular by making the number of book readers high in number.
With online book reading websites, it is much simpler to read any book at any time by simply …

Collaborative filtering integrated fine-grained sentiment for hybrid recommender system

R Alatrash, R Priyadarshini, H Ezaldeen - The Journal of Supercomputing, 2024 - Springer
Developing online educational platforms necessitates the incorporation of new intelligent
procedures in order to improve long-term student experience. Presently, e-learning …