Exploratory Text Analysis using Lexical Episode Plots
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Date
2015
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
In this paper, we present Lexical Episode Plots, a novel automated text-mining and visual analytics approach for exploratory text analysis. In particular, we first describe an algorithm for automatically annotating text regions to examine prominent themes within natural language texts. The algorithm is based on lexical chaining to find spans of text in which the frequency of a term is significantly higher than its average in the document. In a second step we present an interactive visualization supporting the exploration and interpretation of Lexical Episodes. The visualization links higher-level thematic structures with content-level details. The methodological capabilities of our approach are illustrated by analyzing the televised US presidential election debates.
Description
@inproceedings{10.2312:eurovisshort.20151130,
booktitle = {Eurographics Conference on Visualization (EuroVis) - Short Papers},
editor = {E. Bertini and J. Kennedy and E. Puppo},
title = {{Exploratory Text Analysis using Lexical Episode Plots}},
author = {Gold, Valentin and Rohrdantz, Christian and El-Assady, Mennatallah},
year = {2015},
publisher = {The Eurographics Association},
ISBN = {},
DOI = {10.2312/eurovisshort.20151130}
}