679 citations · 847 across the 9 of their papers we have counts for
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Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis
Ron Hochstenbach, Flavius Frasincar, Maria Mihaela Trusca
The increasing popularity of the Web has subsequently increased the abundance of reviews on products and services. Mining these reviews for expressed sentiment is beneficial for bo…
Utilizing Textual Reviews in Latent Factor Models for Recommender Systems
Tatev Karen Aslanyan, Flavius Frasincar
Most of the existing recommender systems are based only on the rating data, and they ignore other sources of information that might increase the quality of recommendations, such as…
Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification
Lisa Meijer, Flavius Frasincar, Maria Mihaela Trusca
Many high performance machine learning models for Aspect-Based Sentiment Classification (ABSC) produce black box models, and therefore barely explain how they classify a certain se…
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis
Tomas Liesting, Flavius Frasincar, Maria Mihaela Trusca
Data augmentation is a way to increase the diversity of available data by applying constrained transformations on the original data. This strategy has been widely used in image cla…