|   | CMU-ISRI-04-100 Institute for Software Research International
 School of Computer Science, Carnegie Mellon University
 
    
     
 CMU-ISRI-04-100
 
AutoMap 1.2 - Extract, Analyze, Represent,and Computer Mental Models from Texts
 
Jana Diesner, Kathleen M. Carley 
January 2004  
Institute for Software Research International (ISRI)Center for Computational Analaysis of Social and Organizational Systems (CASOS)
 
CMU-ISRI-04-100.psCMU-ISRI-04-100.pdf
 Keywords: Text analysis, network text analysis, computer-supported 
text analysis, machine coding, content analysis, maps
 AutoMap1.2 is a network text analysis tool that extracts, analyzes, 
represents, and compares mental models from texts. Network text analysis
is a specific text analysis method that encodes links between words 
in a text and builds a network of the linked words.
  
Computational analysis of networks pulled out of textual data 
is a growing area of research for the following reasons: 
 
The large and still growing number of electronically available 
texts requires the investigation of appropriate methods and tools 
to analyze large scale collections of texts effectively and efficiently. 
Today's communication theories are oriented towards complex, 
large-scale systems, and therefore require methods that provide 
multi-level access to the meaning of textual data.
 
AutoMap helps users to analyze textual data according to 
the current requirements. 
30 pages 
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