Emotions matter: A systematic review and meta-analysis of the detection and classification of students' emotions in stem during online learning
In recent years, the rapid growth of online learning has highlighted the need for effective
methods to monitor and improve student experiences. Emotions play a crucial role in …
methods to monitor and improve student experiences. Emotions play a crucial role in …
Emoji, text, and sentiment polarity detection using natural language processing
Virtual users generate a gigantic volume of unbalanced sentiments over various online
crowd-sourcing platforms which consist of text, emojis, or a combination of both. Its accurate …
crowd-sourcing platforms which consist of text, emojis, or a combination of both. Its accurate …
A new sentiment analysis model to classify students' reviews on MOOCs
Nowadays, e-learning is a significant learning option, especially in light of the COVID-19
pandemic. However, it is a very challenging task because, in online courses, tutors have no …
pandemic. However, it is a very challenging task because, in online courses, tutors have no …
[PDF][PDF] Thalassemia screening by sentiment analysis on social media platform Twitter
Thalassemia syndrome is a genetic blood disorder induced by the reduction of normal
hemoglobin production, resulting in a drop in the size of red blood cells. In severe forms, it …
hemoglobin production, resulting in a drop in the size of red blood cells. In severe forms, it …
A Fused Feature Selection Technique for Enhanced Sentiment Analysis Using Deep Learning
M Muthukrishnan, S Andavar, RSP Raj - Brazilian Archives of Biology …, 2024 - SciELO Brasil
Sentiment analysis holds paramount importance in contemporary business landscapes,
particularly in leveraging insights from the extensive pool of social media data. The rise of …
particularly in leveraging insights from the extensive pool of social media data. The rise of …
SASE: Sentiment Analysis with Aspect Specific Evaluation Using Deep Learning with Hybrid Contextual Embedding
In recent years, sentiment analysis has grown more intricate as the need for deeper insights
from text data has expanded. Traditional methods fall short for capturing subtle opinions …
from text data has expanded. Traditional methods fall short for capturing subtle opinions …
Machine learning-based Sentiment Analysis: A Comprehensive Review
R Chahar, AK Dubey - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Opinion mining, also known as sentiment analysis (SA), aims to determine the thoughts and
comments of others, and it has been made possible by the rapid growth of internet users, the …
comments of others, and it has been made possible by the rapid growth of internet users, the …
[PDF][PDF] Use of Supervised Machine Learning Classifiers for Online Fake Review Detection
MMB Alsaad, H Joshi - Journal of Applied Optics, 2024 - academia.edu
Social media and e-commerce sites have prompted online communities to use reviews to
provide input on goods, products, and services, as well as to support people to analyze …
provide input on goods, products, and services, as well as to support people to analyze …
[引用][C] Aspect-based sentiment analysis: A comprehensive survey of techniques and applications
P Sampathirao Suneetha, SV Row - Journal of Data Acquisition and Processing, 2023
[引用][C] Aspect-Oriented Lexicon-Based Sentiment Analysis of Students' Feedback
A Kathuria, A Gupta, RK Singla - Journal of Circuits, Systems and …, 2024 - World Scientific
The evaluation of feedback collected from students at the end of the year is very essential for
every educational institution. It is important to improve the teaching–learning process and …
every educational institution. It is important to improve the teaching–learning process and …