Recently, there is an increasing tendency to embed functionalities for recognizing emotions
from user-generated media content in automated systems such as call-centre operations …

The rise of social media as a platform for opinion expression and social interactions
motivated the need for an automated data analysis technique for business value extraction …

The evolution of the Internet of Things leads to new opportunities for the contemporary
notion of smart offices, where employees can benefit from automation to maximize their …

This article presents the participation of the Intelligent Systems Group (GSI) at Universidad
Politécnica de Madrid (UPM) in the Sentiment Analysis workshop focused in Spanish tweets …

Sentiment and emotion analysis technologies have quickly gained momentum in industry
and academia. This popularity has spawned a myriad of service and tools. Due to the lack of …

Abstract Language resource interoperability is still a major challenge in sentiment analysis.
One of the current trends for solving this issue is the adoption of a linked data perspective for …

Social media generates a massive amount of data at a very fast pace. Objective information
such as news, and subjective content such as opinions and emotions are intertwined and …

The lack of a standard emotion representation model hinders emotion analysis due to the
incompatibility of annotation formats and models from different sources, tools and annotation …

Sentiment Analysis has received plenty of attention from both industry and academia
because its application can reveal new insights from social interactions. The wide range of …

The growing popularity of public APIs and technologies such as web hooks is changing
online services drastically. It is easier now than ever to interconnect services and access …