Sentiment analysis of students' feedback with NLP and deep learning: A systematic mapping study

Z Kastrati, F Dalipi, AS Imran, K Pireva Nuci, MA Wani - Applied Sciences, 2021 - mdpi.com
In the last decade, sentiment analysis has been widely applied in many domains, including
business, social networks and education. Particularly in the education domain, where …

Emotions matter: A systematic review and meta-analysis of the detection and classification of students' emotions in stem during online learning

A Anwar, IU Rehman, MM Nasralla, SBA Khattak… - Education …, 2023 - mdpi.com
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 …

Weakly supervised framework for aspect-based sentiment analysis on students' reviews of MOOCs

Z Kastrati, AS Imran, A Kurti - IEEE Access, 2020 - ieeexplore.ieee.org
Students' feedback is an effective mechanism that provides valuable insights about teaching-
learning process. Handling opinions of students expressed in reviews is a quite labour …

RETRACTED ARTICLE: Sentiment analysis of student feedback using multi-head attention fusion model of word and context embedding for LSTM

K Sangeetha, D Prabha - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Classroom teaching becomes viable and efficient based on increase in participation of the
student. This can be made possible by taking needed measure by finding the emotions of …

The power of engagement: Understanding active social media engagement and the impact on sales in the hospitality industry

E Yost, T Zhang, R Qi - Journal of Hospitality and Tourism Management, 2021 - Elsevier
This study seeks to understand the most important features of active social media
engagement among followers of a food and beverage sales organization, and the impact of …

Hospitality feedback system 4.0: digitalization of feedback system with integration of industry 4.0 enabling technologies

R Narayan, A Gehlot, R Singh, SV Akram… - Sustainability, 2022 - mdpi.com
Digitalization enables the realization of the resilient infrastructure in every application for
achieving sustainability. In the context of the hospitality business, resilient infrastructure …

Climate change sentiment analysis using lexicon, machine learning and hybrid approaches

NM Sham, A Mohamed - Sustainability, 2022 - search.proquest.com
The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the
consequence of warming up the planet, hence the existence of climate change. Sentiment …

A content analysis system that supports sentiment analysis for subjectivity and polarity detection in online courses

R Cobos, F Jurado… - … de Tecnologías Del …, 2019 - ieeexplore.ieee.org
Given the current and increasing relevance of research aimed towards the optimization of
teaching and learning experiences in online Education, a plethora of studies regarding the …

Aspect based sentiment analysis of students opinion using machine learning techniques

M Sivakumar, US Reddy - 2017 international conference on …, 2017 - ieeexplore.ieee.org
Recent times, customer wants to share good and bad opinions about their experience like
usage of recently purchased product, services provided by a hospital, education and so on …

Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification

A Erkan, T Güngör - IEEE Access, 2023 - ieeexplore.ieee.org
Sentiment classification is a natural language processing task to identify opinions expressed
in texts such as product or service reviews. In this work, we analyze the effects of different …