User:Aacurtis/AutoMap Software

AutoMap is a textual analysis tool developed by the Center for Computational Analysis of Social and Organizational Systems (CASOS) at Carnegie Mellon University. The tool is designed to extract three types of information from the bodies of text. Content analytic data include word frequencies. The extraction of semantic network data involves identifying network relationships (based on proximity) among concepts identified in content analysis procedures. Meta network data are extracted by allowing the researcher to assign concepts from semantic network data to categories such as agents, knowledge, resources, tasks, organizations, locations, actions, roles, attribute, and any number of user-defined categories. To support these analytical functions, AutoMap also provides a number of natural language pre-processing techniques.

AutoMap was designed as a

Versions
2.7.60 April 24, 2008

Peer Reviewed References Discussing the Use of AutoMap
Carley, K.M. "Extracting, Representing and Analyzing Mental Models" Social Forces 70(3), 601-636 (March 1991)

Carley, K.M. "Extracting group Mental Models through Textual Analysis" Journal of Organizational Behavior 18(31), 533-58 (1997)

Diesner, Jana & Carley, Kathleen. (2004). Revealing Social Structure from Texts: Meta-Matrix Text Analysis as a novel method for Network Text Analysis. Causal Mapping for Information Systems and Technology Research: Approaches, Advances, and Illustrations., Harrisburg, PA: Idea Group Publishing.