Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts

Abstract A common task in computational text analyses is to quantify how two corpora differ according to a measurement like word frequency, sentiment, or information content. However, collapsing the texts’ rich stories into a single number is often conceptually perilous, and it is difficult to confi...

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Главные авторы:	Ryan J. Gallagher, Morgan R. Frank, Lewis Mitchell, Aaron J. Schwartz, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds
Формат:	Artigo
Язык:	Inglês
Опубликовано:	SpringerOpen 2021-01-01
Серии:	EPJ Data Science
Предметы:	Text as data Data visualization Word shift graphs Sentiment analysis Computational social science Digital humanities
Online-ссылка:	https://doi.org/10.1140/epjds/s13688-021-00260-3
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