Finding emotions in text is an area of research with wide-ranging applications. We describe
an emotion annotation task of identifying emotion category, emotion intensity and the …

Most approaches to emotion analysis in fictional texts focus on detecting the emotion
expressed in text. We argue that this is a simplification which leads to an overgeneralized …

Emotion can be expressed in many ways that can be seen such as facial expression and
gestures, speech and by written text. Emotion Detection in text documents is essentially a …

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 …

Opinion mining techniques, investigating if text is expressing a positive or negative opinion,
continuously gain in popularity, attracting the attention of many scientists from different …

There is plenty of evidence that emotion analysis has many valuable applications. In this
study a blog emotion corpus is constructed for Chinese emotional expression analysis. This …

This paper focuses on the novel task of automatic extraction of phrases related to causes of
emotions. The analysis of emotional causes in sentences, where emotions are explicitly …

We explore the task of automatic classification of texts by the emotions expressed. Our novel
method arranges neutrality, polarity and emotions hierarchically. We test the method on two …

Emotions constitute a key factor in human nature and behavior. The most common way for
people to express their opinions, thoughts and communicate with each other is via written …

Detecting emotions in microblogs and social media posts has applications for industry,
health, and security. However, there exists no microblog corpus with instances labeled for …