Exploratory Text Analysis using Lexical Episode Plots

dc.contributor.authorGold, Valentinen_US
dc.contributor.authorRohrdantz, Christianen_US
dc.contributor.authorEl-Assady, Mennatallahen_US
dc.contributor.editorE. Bertini and J. Kennedy and E. Puppoen_US
dc.date.accessioned2015-05-24T19:43:15Z
dc.date.available2015-05-24T19:43:15Z
dc.date.issued2015en_US
dc.description.abstractIn 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.sectionheadersDesign and Applicationsen_US
dc.description.seriesinformationEurographics Conference on Visualization (EuroVis) - Short Papersen_US
dc.identifier.doi10.2312/eurovisshort.20151130en_US
dc.identifier.pages85-89en_US
dc.identifier.urihttps://doi.org/10.2312/eurovisshort.20151130en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.5.4 [Pattern Recognition]en_US
dc.subjectApplicationsen_US
dc.subjectText processingen_US
dc.titleExploratory Text Analysis using Lexical Episode Plotsen_US
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