Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 11, Issue 9, Pages 3986
Publisher
MDPI AG
Online
2021-04-28
DOI
10.3390/app11093986
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Sentiment Analysis of Teachers Using Social Information in Educational Platform Environments
- (2020) Nikolaos Spatiotis et al. International Journal on Artificial Intelligence Tools
- Sentiment analysis of student feedback using multi-head attention fusion model of word and context embedding for LSTM
- (2020) K. Sangeetha et al. Journal of Ambient Intelligence and Humanized Computing
- Opinion mining and emotion recognition applied to learning environments
- (2020) María Lucía Barrón Estrada et al. EXPERT SYSTEMS WITH APPLICATIONS
- The emergence of social media data and sentiment analysis in election prediction
- (2020) Priyavrat Chauhan et al. Journal of Ambient Intelligence and Humanized Computing
- A review on sentiment discovery and analysis of educational big‐data
- (2019) Zhongmei Han et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Effective lexicon-based approach for Urdu sentiment analysis
- (2019) Neelam Mukhtar et al. ARTIFICIAL INTELLIGENCE REVIEW
- The impact of deep learning on document classification using semantically rich representations
- (2019) Zenun Kastrati et al. INFORMATION PROCESSING & MANAGEMENT
- Analyzing the Brazilian Financial Market through Portuguese Sentiment Analysis in Social Media
- (2019) A. E. O. Carosia et al. APPLIED ARTIFICIAL INTELLIGENCE
- Sentiment topic emotion model on students feedback for educational benefits and practices
- (2019) K. Nimala et al. BEHAVIOUR & INFORMATION TECHNOLOGY
- Mining opinions from instructor evaluation reviews: A deep learning approach
- (2019) Aytuğ Onan COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
- Visualizing Student Opinion Through Text Analysis
- (2019) Samuel Cunningham-Nelson et al. IEEE TRANSACTIONS ON EDUCATION
- What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach
- (2019) Khe Foon Hew et al. COMPUTERS & EDUCATION
- Convolution–deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing
- (2019) Kai Shuang et al. Information Fusion
- Integrating word embeddings and document topics with deep learning in a video classification framework
- (2019) Zenun Kastrati et al. PATTERN RECOGNITION LETTERS
- Topic-based knowledge mining of online student reviews for strategic planning in universities
- (2018) Sharan Srinivas et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Sentiment analysis in teaching evaluations using sentiment phrase pattern matching (SPPM) based on association mining
- (2018) Chakrit Pong-inwong et al. International Journal of Machine Learning and Cybernetics
- Intellimote: a hybrid classifier for classifying learners' emotion in a distributed e-learning environment
- (2017) Lopa MANDAL et al. Turkish Journal of Electrical Engineering and Computer Sciences
- Guidelines for conducting systematic mapping studies in software engineering: An update
- (2015) Kai Petersen et al. INFORMATION AND SOFTWARE TECHNOLOGY
- Techniques and applications for sentiment analysis
- (2013) Ronen Feldman COMMUNICATIONS OF THE ACM
- New Avenues in Opinion Mining and Sentiment Analysis
- (2013) Erik Cambria et al. IEEE INTELLIGENT SYSTEMS
- Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
- (2009) David Moher et al. PLOS MEDICINE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search