Mining opinions from instructor evaluation reviews: A deep learning approach
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Mining opinions from instructor evaluation reviews: A deep learning approach
Authors
Keywords
-
Journal
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-11-06
DOI
10.1002/cae.22179
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Sentiment mining in a collaborative learning environment: capitalising on big data
- (2019) R. K. Jena BEHAVIOUR & INFORMATION TECHNOLOGY
- Enhancing unsupervised neural networks based text summarization with word embedding and ensemble learning
- (2019) Nabil Alami et al. EXPERT SYSTEMS WITH APPLICATIONS
- Exploring effects of discussion on visual attention, learning performance, and perceptions of students learning with STR-support
- (2018) Wu-Yuin Hwang et al. COMPUTERS & EDUCATION
- Deep learning for sentiment analysis: A survey
- (2018) Lei Zhang et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Opinion mining and emotion recognition in an intelligent learning environment
- (2018) Raúl Oramas Bustillos et al. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
- Research on the teaching assessment of students of science and engineering teachers in a university
- (2018) Shui-yun Deng et al. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
- Lexical based automated teaching evaluation via students’ short reviews
- (2018) Qika Lin et al. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION
- Sentiment analysis based on improved pre-trained word embeddings
- (2018) Seyed Mahdi Rezaeinia et al. EXPERT SYSTEMS WITH APPLICATIONS
- A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification
- (2017) Aytuğ Onan et al. INFORMATION PROCESSING & MANAGEMENT
- A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification
- (2016) Aytuğ Onan et al. EXPERT SYSTEMS WITH APPLICATIONS
- An ensemble scheme based on language function analysis and feature engineering for text genre classification
- (2016) Aytuğ Onan JOURNAL OF INFORMATION SCIENCE
- An improved ant algorithm with LDA-based representation for text document clustering
- (2016) Aytug Onan et al. JOURNAL OF INFORMATION SCIENCE
- Sentiment analysis: Bayesian Ensemble Learning
- (2014) E. Fersini et al. DECISION SUPPORT SYSTEMS
- A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews
- (2014) Byron C Wallace et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Recognizing and regulating e-learners’ emotions based on interactive Chinese texts in e-learning systems
- (2013) Feng Tian et al. KNOWLEDGE-BASED SYSTEMS
- Aspect-based sentiment analysis of movie reviews on discussion boards
- (2010) Tun Thura Thet et al. JOURNAL OF INFORMATION SCIENCE
- Sentiment analysis: A combined approach
- (2009) Rudy Prabowo et al. Journal of Informetrics
- A survey of modern authorship attribution methods
- (2008) Efstathios Stamatatos JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
- Opinion Mining and Sentiment Analysis
- (2008) Bo Pang et al. Foundations and Trends in Information Retrieval
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search