Metadata Enriched Visualization of Keywords in Context

This paper presents an interactive, synchronized and metadata enriched implementation of the Word Tree metaphor, which is an interactive visualization technique to show Keywords-in-Context (KWIC). Embedded into a Web intelligence platform focusing on climate change coverage, it provides users with a tool to better understand the usage of terms in large document collections. One of the novelties is the implementation of filters for the Word Tree, which shifts the focus of attention directly onto significant phrases, instead of punctuation or fill-words, inherent to natural language usage

Topic Wizard - Interactive Visual Tool for Defining and Disambiguating Topics via Regular Expressions

The Topic Wizard presented in this paper is a new interactive tool that supports the definition and revision of topics in form of regular expressions, combining a dialog for prefix and suffix extension with a word tree-based representation of phrases for restricting the query to specific expressions. The examples stem from the Media Watch on Climate Change, a public Web portal based on the webLyzard Web intelligence platform that aggregates environmental stakeholder communication from multiple online sources

Analyzing the Public Discourse on Works of Fiction: Detection and Visualization of Emotion in Online Coverage about HBO's Game of Thrones

This paper presents a Web intelligence portal that captures and aggregates news and social media coverage about "Game of Thrones", an American drama television series created for the HBO television network based on George R.R. Martin's series of fantasy novels. The system collects content from the Web sites of Anglo-American news media as well as from four social media platforms: Twitter, Facebook, Google+ and YouTube. An interactive dashboard with trend charts and synchronized visual analytics components not only shows how often Game of Thrones events and characters are being mentioned by journalists and viewers, but also provides a real-time account of concepts that are being associated with the unfolding storyline and each new episode. Positive or negative sentiment is computed automatically, which sheds light on the perception of actors and new plot elements