Aspect-based sentiment analysis (ABSA) of patients' opinions expressed in drug reviews
can extract valuable information about specific aspects of a particular drug such as …

Using personalized explanations to support recommendations has been shown to increase
trust and perceived quality. However, to actually obtain better recommendations, there …

Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from
a customer review and identify its polarity. Most previous studies of ABSA focused on explicit …

Interpreting what a deep learning model has learned is a challenging task. In this paper, we
present a deep learning architecture relying upon an attention mechanism. The main focus …

Opinion Target Extraction (OTE) identifies opinionated aspects in review sentences with the
goal of achieving Aspect Based Opinion Mining (ABOM). The available review corpuses and …

Neural models achieved considerable improvement for many natural language processing
tasks, but they offer little transparency, and interpretability comes at a cost. In some domains …

In this paper we explore the advantages that unsupervised terminology extraction can bring
to unsupervised Aspect Based Sentiment Analysis methods based on word embedding …

This paper describes a system for aspect based sentiment analysis based on the
assumption that domain portability should be achieved with minimal manual configuration …