A review of sentiment analysis: tasks, applications, and deep learning techniques
Sentiment analysis, a transformative force in natural language processing, revolutionizes
diverse fields such as business, social media, healthcare, and disaster response. This …
diverse fields such as business, social media, healthcare, and disaster response. This …
KnowMIS-ABSA: an overview and a reference model for applications of sentiment analysis and aspect-based sentiment analysis
G D'Aniello, M Gaeta, I La Rocca - Artificial Intelligence Review, 2022 - Springer
The analysis of the opinions of customers and users has been always of great interest in
supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) …
supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) …
Assessing learners' satisfaction in collaborative online courses through a big data approach
Monitoring learners' satisfaction (LS) is a vital action for collecting precious information and
design valuable online collaborative learning (CL) experiences. Today's CL platforms allow …
design valuable online collaborative learning (CL) experiences. Today's CL platforms allow …
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 …
Sentiment analysis techniques and applications in education: A survey
FS Dolianiti, D Iakovakis, SB Dias… - … on technology and …, 2018 - Springer
As the interplay between cognition and emotion is involved in every learning process,
student profile should be enhanced with information regarding his/her affective state …
student profile should be enhanced with information regarding his/her affective state …
Knowledge discovery from the texts of Nobel Prize winners in literature: sentiment analysis and Latent Dirichlet Allocation
Abstract Today, The Nobel Prize for Literature is one of the most recognized and prestigious
awards. Examining the texts of the authors who have received this award and revealing the …
awards. Examining the texts of the authors who have received this award and revealing the …
Student feedback on online learning by using sentiment analysis: a literature review
The purpose of this study was to explore the implementation of sentiment analysis
techniques on student feedback in an online learning environment. This research used the …
techniques on student feedback in an online learning environment. This research used the …
Topic sentiment analysis in online learning community from college students
K Wang, Y Zhang - Journal of Data and Information Science, 2020 - sciendo.com
Purpose: Opinion mining and sentiment analysis in Online Learning Community can truly
reflect the students' learning situation, which provides the necessary theoretical basis for …
reflect the students' learning situation, which provides the necessary theoretical basis for …
[PDF][PDF] Mining: Students Comments about Teacher Performance Assessment using Machine Learning Algorithms.
G Gutiérrez, J Canul-Reich… - Int. J. Comb. Optim …, 2018 - academia.edu
The exponential expansion of sentiment analysis is mainly due to the interest of companies
to obtainment users' views about products and services. Likewise, sentiment analysis has …
to obtainment users' views about products and services. Likewise, sentiment analysis has …
[PDF][PDF] Sentiment Analysis of Impact of Technology on Employment from Text on Twitter.
Various studies are in progress to analyze the content created by the users on social media
due to its influence and the social ripple effect. The content created on social media has …
due to its influence and the social ripple effect. The content created on social media has …