The advent of digital medical data has brought an exponential increase in information
available for each patient, allowing for novel knowledge generation methods to emerge …

Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
deep learning techniques into natural language processing representing significant …

This paper presents a state-of-the-art approach for sentiment polarity classification. Our
approach relies on an ensemble of Bidirectional Long Short-Term Memory networks …

The use of the sentiment analysis technique, which aims to extract emotions and thoughts
from texts, has become a remarkable research topic today, where the importance of human …

The availability of frameworks and applications in the robotic domain fostered in the last
years a spread in the adoption of robots in daily life activities. Many of these activities …

Online educational platforms are enabling learners to consume a great variety of content
and share opinions on their learning experience. The analysis of the sentiment behind such …

In this work, we present a method for personalizing human-robot interaction by using
emotive facial expressions to generate affective robot movements. Movement is an important …

A lot of people have neuromuscular problems that affect their lives leading them to lose an
important degree of autonomy in their daily activities. When their disabilities do not involve …

Social media are providing the humus for the sharing of knowledge and experiences and
the growth of community activities (eg, debating about different topics). The analysis of the …

In this paper we propose an approach that allows the NAO humanoid robot to execute
natural language commands spoken by the user. To provide the robot with knowledge, we …