A class imbalance-aware review rating prediction using hybrid sampling and ensemble learning
出版年份 2020 全文链接
标题
A class imbalance-aware review rating prediction using hybrid sampling and ensemble learning
作者
关键词
-
出版物
MULTIMEDIA TOOLS AND APPLICATIONS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-10-23
DOI
10.1007/s11042-020-10024-2
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Valuing free-form text data from maintenance logs through transfer learning with CamemBERT
- (2020) Juan Pablo Usuga Cadavid et al. Enterprise Information Systems
- Multi-class Review Rating Classification using Deep Recurrent Neural Network
- (2019) Junaid Hassan et al. NEURAL PROCESSING LETTERS
- Predicting Hospital Readmission via Cost-sensitive Deep Learning
- (2018) Haishuai Wang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Learning from class-imbalanced data: Review of methods and applications
- (2017) Guo Haixiang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Rating prediction by exploring user’s preference and sentiment
- (2017) Xiang Ma et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A Survey of Predictive Modeling on Imbalanced Domains
- (2016) Paula Branco et al. ACM COMPUTING SURVEYS
- Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases
- (2016) Octavio Loyola-González et al. NEUROCOMPUTING
- Classifying imbalanced data sets using similarity based hierarchical decomposition
- (2015) Cigdem Beyan et al. PATTERN RECOGNITION
- Recommender systems based on user reviews: the state of the art
- (2015) Li Chen et al. USER MODELING AND USER-ADAPTED INTERACTION
- An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
- (2013) Victoria López et al. INFORMATION SCIENCES
- Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
- (2013) Alberto Fernández et al. KNOWLEDGE-BASED SYSTEMS
- A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
- (2011) M. Galar et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- Overcoming the J-shaped distribution of product reviews
- (2009) Nan Hu et al. COMMUNICATIONS OF THE ACM
- A Lexicon-Enhanced Method for Sentiment Classification: An Experiment on Online Product Reviews
- (2009) Yan Dang et al. IEEE INTELLIGENT SYSTEMS
- Evolutionary rule-based systems for imbalanced data sets
- (2008) Albert Orriols-Puig et al. SOFT COMPUTING
- An empirical study of sentiment analysis for chinese documents
- (2007) S TAN et al. EXPERT SYSTEMS WITH APPLICATIONS
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 MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started