The automatic detection of emotions in texts and the generation of texts that express
emotions is important for applications such as natural language interfaces, e-learning …

This paper describes experiments concerned with the automatic analysis of emotions in text.
We describe the construction of a large data set annotated for six basic emotions: ANGER …

People express emotions as part of everyday communication. Emotions can be judged by a
combination of cues such as facial expressions, prosodies, gestures, and actions. Emotions …

Textual sentiment analysis and emotion detection consists in retrieving the sentiment or
emotion carried by a text or document. This task can be useful in many domains: opinion …

With the growth of internet community, many different textbased documents are produced.
This paper presents an overview of the emerging field of emotion detection from text and …

Sentiment analysis from text consists of extracting information about opinions, sentiments,
and even emotions conveyed by writers towards topics of interest. It is often equated to …

This survey describes recent works in the field of Emotion Detection from text, being a part of
the broader area of Affective Computing. This survey has been inspired on the well-known …

This paper explores the task of automatic emotion analysis and generation in texts. We
present preliminary results for the task of classifying texts by classes of emotions. Then, we …

Emotions are among the most pervasive aspects of human experience. They have long
been of interest to social and behavioural sciences. Recently, emotions have attracted the …

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 …