Emotion is central to human interactions, and automatic detection could enhance our
experience with technologies. We investigate the linguistic expression of fine-grained …

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 …

Abstract motion is at the core of understanding ourselves and others, and the automatic
expression and detection of emotion could enhance our experience with echnologies. In this …

One of the goals of affective computing is to recognize human emotions. We present a
system that learns to recognize emotions based on textual resources and test it on a large …

Being able to automatically perceive a variety of emotions from text alone has potentially
important applications in CMC and HCI that range from identifying mood from online posts to …

With the uptake of social media, such as Facebook and Twitter, there is now a vast amount
of new user generated content on a daily basis, much of it in the form of short, informal free …

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 …

Previous researches have focused on analyzing emotion through monolingual text, when in
fact bilingual or code-switching posts are also common in social media. Despite the …

We describe an experiment into detecting emotions in texts on the Chinese microblog
service Sina Weibo (www. weibo. com) using distant supervision via various author-supplied …

In this paper, we propose a data-oriented method for inferring the emotion of a speaker
conversing with a dialog system from the semantic content of an utterance. We first fully …