Year: 2014
Type: article
Abstract: This paper presents a review of approaches to text visualization and exploration. Text visualization and exploration, we argue, constitute a subfield of data visualization, and are fuelled by the advances being made in text analysis research and by the growing amount of accessible data in text format. We propose an original classification for a total of 49 cases based on the visual features of the approaches adopted, identified using an inductive process of analysis. We group the cases (published between 1994 and 2013) in two categories: single-text visualizations and text-collection visualizations, both of which can be explored and compared online.
Source: El Profesional de la Informacion
Institutions: Universitat de Barcelona, University of Canberra
Language: Spanish
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
Award: G2624993404
OpenAlex ID: W1552317522
