A Critical Review of Information Visualizations for Natural Language
نویسنده
چکیده
Information visualization is characterized by a collection of design principles and evaluation frameworks, rooted in cognitive science research, human-computer interaction studies, and experiences from the fine arts community. Information visualization has been coupled with computational linguistics algorithms to present visualizations of many types of linguistic data. Evaluation is often not carried out, but qualitative analysis reveals varying levels of visualization quality and linguistic sophistication. This work reviews major design theories and evaluative frameworks in information visualization and applies them to the critical analysis of a broad range of visualizations of linguistic data.
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تاریخ انتشار 2005