Exploratory Text Analysis using Lexical Episode Plots
| dc.contributor.author | Gold, Valentin | en_US |
| dc.contributor.author | Rohrdantz, Christian | en_US |
| dc.contributor.author | El-Assady, Mennatallah | en_US |
| dc.contributor.editor | E. Bertini and J. Kennedy and E. Puppo | en_US |
| dc.date.accessioned | 2015-05-24T19:43:15Z | |
| dc.date.available | 2015-05-24T19:43:15Z | |
| dc.date.issued | 2015 | en_US |
| dc.description.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. | en_US |
| dc.description.sectionheaders | Design and Applications | en_US |
| dc.description.seriesinformation | Eurographics Conference on Visualization (EuroVis) - Short Papers | en_US |
| dc.identifier.doi | 10.2312/eurovisshort.20151130 | en_US |
| dc.identifier.pages | 85-89 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/eurovisshort.20151130 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | I.5.4 [Pattern Recognition] | en_US |
| dc.subject | Applications | en_US |
| dc.subject | Text processing | en_US |
| dc.title | Exploratory Text Analysis using Lexical Episode Plots | en_US |