Metadata enriched visualization of keywords in context

Published 17 June 2014

Daniel Fischl, Arno Scharl

Citations7

TL;DR

Abstract

This paper presents an interactive, synchronized and metadata enriched implementation of the Word Tree meta-phor, 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.

Keywords

Computer Science

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The design of the Word Tree is described, along with some of the technical issues that arise in its implementation, and the results of several months of public deployment of word trees on Many Eyes are discussed, which provides a window onto the ways in which users obtain value from the visualization.

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