Sentiment Analysis for Social Media

Carlos A. Iglesias & Antonio Moreno. (2019). Sentiment Analysis for Social Media. Applied Sciences, 9 (23), 5037.

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 and applications.
JCR 2019 Q2 2.474, SJR 2019 Q3 0.418, Scopus 2019 Q2 2.4