In recent years, emotion detection in text has become more popular due to its vast potential
applications in marketing, political science, psychology, human-computer interaction …

Sentiment analysis is one of the recent, highly dynamic fields in Natural Language
Processing. Most existing approaches are based on word-level analysis of texts and are …

The task of automatically detecting emotion in text is challenging. This is due to the fact that
most of the times, textual expressions of affect are not direct-using emotion words-but result …

The automatic detection of emotions is a difficult task in Artificial Intelligence. In the field of
Natural Language Processing, the challenge of automatically detecting emotion from text …

Customer-agent conversations (ie call transcripts) are invaluable source for companies as
they convey direct information from their customers implicit and explicit behaviour …

The evolution of internet has given the ability to the users to give their reviews, ratings, and
opinions on social media or commercial websites. Sentiment and emotion analysis is an …

Thanks to the increasing amount of subjective data on the Web 2.0, tools to manage and
exploit such data become essential. Our research is focused on the creation of EmotiBlog, a …

EmotiBlog es una colección de entradas de blogs creado y anotado para detectar
expresiones subjetivas en los nuevos géneros textuales nacidos con la Web 2.0 …

There are three main classes of modifiers that can affect the polarity of the sentiments
described in natural language texts: negations, intensifiers and diminishers. In this paper …

With the growth of the social Web, people have started to freely express their opinion on a
whole variety of topics on forums, e-commerce sites or blogs. As a consequence, we need …