Sentiment polarity detection is one of the most popular tasks related to Opinion Mining.
Many papers have been presented describing one of the two main approaches used to …

Until now most of the published methods for polarity classification have been applied to
English texts, but other languages are becoming increasingly important. This paper presents …

Despite impressive advancements in multilingual corpora collection and model training,
developing large-scale deployments of multilingual models still presents a significant …

The main goal of this work is to provide the cognitive computing community with valuable
resources to analyze and simulate the intentionality and/or emotions embedded in the …

Sentiment Analysis is an extensively studied task, however an important aspect yet to study
is the underlying structural information of opinions. An important aspect to tackle is the …

In this paper we focus on unsupervised sentiment analysis in Spanish. The lack of resources
for languages other than English, as for example Spanish, adds more complexity to the task …

La clasificación de textos, en entornos en los que el volumen de datos a clasificar es tan
elevado que resulta muy costosa la realización de esta tarea por parte de humanos …

Models are increasing in size and complexity in the hunt for SOTA. But what if those 2\%
increase in performance does not make a difference in a production use case? Maybe …

Up to now, negation is a challenging problem in the context of Sentiment Analysis. The study
of negation implies the correct identification of negation markers, the scope and the …

[EN] The increasing use of social networks and online sites where people can express their
opinions has created a growing interest in Opinion Mining. One of the main tasks of Opinion …