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 …

User-generated data in blogs and social networks have recently become a valuable
resource for sentiment analysis in the financial domain, since they have been shown to be …

Sentiment analysis is a task of predicting sentiments from the opinionated data and
classifies them as positive, negative, ratings (stars or numerical), thumbs up-thumbs down …

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 …

The ability to reason, plan and solve highly abstract problems is a hallmark of human
intelligence. Recent advancements in artificial intelligence, propelled by deep neural …

In this paper we present a mixture of technologies tailored for e-learning related to the Deep
Learning, Sentiment Analysis, and Semantic Web domains, which we have employed to …

This paper describes a supervised approach we have designed for the topic-based
message polarity classification. Given a message and a topic, we aim at (i) classifying the …

Hoy en dıa, con la creciente popularidad de las redes sociales, se ha desarrollado una
variedad de medios digitales que permiten compartir con facilidad opiniones, experiencias …