Sentiment analysis has become a key technology to gain insight from social networks.
The field has reached a level of maturity that paves the way for its exploitation in many different
fields such as marketing, health, banking or politics. The latest technological advancements, such as
deep learning techniques, have solved some of the traditional challenges in the area caused by the
scarcity of lexical resources. In this Special Issue, different approaches that advance this discipline
are presented. The contributed articles belong to two broad groups: technological contributions