While social media offer great communication opportunities, they also increase the
vulnerability of young people to threatening situations online. Recent studies report that …

With the increase in popularity of online review sites comes a corresponding need for tools
capable of extracting the information most important to the user from the plain text data. Due …

In the current era of online interactions, both positive and negative experiences are
abundant on the Web. As in real life, negative experiences can have a serious impact on …

This paper focuses on topic-specific and more specifically company-specific sentiment
analysis in financial newswire text. This application is of great use to researchers in the …

We examine the viability of building large polarity lexicons semi-automatically from the web.
We begin by describing a graph propagation framework inspired by previous work on …

Sentiment analysis is held to be one of the highly dynamic recent research fields in Natural
Language Processing, facilitated by the quickly growing volume of Web opinion data. Most …

Online communication platforms are increasingly used to express suicidal thoughts. There is
considerable interest in monitoring such messages, both for population-wide and individual …

Many sentiment analysis methods rely on sentiment lexicons, containing words and their
associated sentiment, and are tailored to one specific language. Yet, the ever-growing …

The recent development of social media poses new challenges to the research community
in analyzing online interactions between people. Social networking sites offer great …

Background Headache medicine is largely based on detailed history taking by physicians
analysing patients' descriptions of headache. Natural language processing (NLP) structures …