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 …

Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework

RS Bhanuse, S Mal - Multimedia Tools and Applications, 2024 - Springer
Nowadays, online course recommendation frameworks are popular for suggesting courses
to new learners. Various courses are available on the Internet, and it is very challenging to …

SentiWordNet ontology and deep neural network based collaborative filtering technique for course recommendation in an e-learning platform

N Vedavathi, KM Anil Kumar - International Journal of Uncertainty …, 2022 - World Scientific
The expansion of the population that wants to learn online is growing due to several e-
learning platforms, which help innovate and suggest courses to learners. Several …

Augmented language model with deep learning adaptation on sentiment analysis for E-learning recommendation

R Alatrash, R Priyadarshini, H Ezaldeen… - Cognitive Systems …, 2022 - Elsevier
Sentiment Analysis is considered as an important research field in text mining, and is
significant in recommendation systems and e-learning environments. This research …

Enhanced Elman spike neural network based sentiment analysis of online product recommendation

A Solairaj, G Sugitha, G Kavitha - Applied Soft Computing, 2023 - Elsevier
The major task of Natural Language Processing (NLP) is Sentiments Analysis (SA) or
Opinion Mining (OM). It captures the opinion, trust, and feelings of every user's about the …

A hybrid E-learning recommendation integrating adaptive profiling and sentiment analysis

H Ezaldeen, R Misra, SK Bisoy, R Alatrash… - Journal of Web …, 2022 - Elsevier
This research proposes a novel framework named Enhanced e-Learning Hybrid
Recommender System (ELHRS) that provides an appropriate e-content with the highest …

Reviewer reliability and XGboost whale optimized sentiment analysis for online product recommendation

N Ramshankar, PM Joe Prathap - Journal of Intelligent & …, 2023 - content.iospress.com
Nowadays, people always use online promotions to know about best shops to buy the best
products. This shopping experience and shopper's opinion about the shop can be observed …

Sentiment analysis using deep learning for recommendation in E-learning domain

R Alatrash, H Ezaldeen, R Misra… - Progress in Advanced …, 2021 - Springer
Sentiment analysis (SA) is one of the methods that can assist in extracting information from a
large amount of data. It is considered one of the research fields in text mining, which has …

Taylor-ChOA: Taylor-chimp optimized random multimodal deep learning-based sentiment classification model for course recommendation

SK Banbhrani, B Xu, H Lin, DK Sajnani - Mathematics, 2022 - mdpi.com
Course recommendation is a key for achievement in a student's academic path. However, it
is challenging to appropriately select course content among numerous online education …

Improving performance of recommendation systems using sentiment patterns of user

CJ Awati, SK Shirgave, SA Thorat - International Journal of Information …, 2023 - Springer
Nowadays, shopping malls use tactics that affect customers psychologically. They arrange
items based on human psychology. Likewise, the E-commerce industry aims to increase …