In this paper, we show how sentiment analysis can be used in tandem with effective
visualizations to quantify and track emotions in mail and books. We study a number of …

With the widespread use of email, we now have access to unprecedented amounts of text
that we ourselves have written. In this paper, we show how sentiment analysis can be used …

We present We Feel Fine, an emotional search engine and web-based artwork whose
mission is to collect the world's emotions to help people better understand themselves and …

Sentiment analysis is the task of automatically determining from text the attitude, emotion, or
some other affectual state of the author. This chapter summarizes the diverse landscape of …

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

Recent advances in text analysis have led to finer-grained semantic analysis, including
automatic sentiment analysis—the task of measuring documents, or chunks of text, based on …

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 …

The growth of financial texts in the wake of big data has challenged most organizations and
brought escalating demands for analysis tools. In general, text streams are more challenging …

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 …

As a response to the growing availability of informal, opinionated texts like blog posts and
product review websites, a field of Sentiment Analysis has sprung up in the past decade to …