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 …

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

The rise of micro-blogging in recent years has resulted in significant access to emotion-
laden text. Unlike emotion expressed in other textual sources (eg, blogs, quotes in …

Online text sources form evolving large scale data repositories out of which valuable
knowledge about human emotions can be derived. Beyond the primary emotions which refer …

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 …

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 …

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 …

There is a rich variety of data sets for sentiment analysis (viz., polarity and subjectivity
classification). For the more challenging task of detecting discrete emotions following the …

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 …

This paper introduces a gamified framework for fine-grained sentiment analysis and emotion
detection. We present a flexible tool, Sentimentator, that can be used for efficient annotation …