The volume of information, communications, and descriptions provided in text form is large and increasing. One of the most often used software application of our time, web page retrieval based on key word descriptions, can be constructed as a text analysis application. The volume and diversity of information available in text data sources has driven the development of a variety of methods for interacting with, and presenting the results from, text analyses. In short, text analysis provides a challenging, important area for statistical analysis and application. Existing text analysis systems and technologies are reviewed. Capabilities of the technology are described, including potential for scaling and analytic activities directly supported analytic activities that could be supported and unmet analytic needs. Statistics-related technologies that are contained in text visualization systems are identified. Choices and trade-offs made in text visualization systems are indicated, as are some areas of research and potential development.
Revised: September 9, 2013 |
Published: November 30, 2005
Citation
Whitney P.D. 2005.Visual Analysis of Text Document Collections. In Proceedings of the 2005 Joint Statistical Meetings, August 7-11, 2005, Minneapolis, Minnesota. Alexandria, Virginia:American Statistical Association.PNNL-SA-47474.