CRAWDAD TEXT ANALYSIS SOFTWARE

Purchase Crawdad Text Analysis Software now for only $95!

To purchase Crawdad send an email to info_@_crawdadtech.com (remove the underscores before sending).

You can also request a download of the trial version of Crawdad Text Analysis Software.

PLEASE NOTE: The Software was developed for Windows XP Operating System and has not been updated since. While many customers do get the software to work on Windows Vista or Windows 7, we cannot guarantee that it will work on any operating system except Windows XP.

If you’re a researcher doing qualitative data analysis, you’ll want Crawdad on your desktop. Crawdad Text Analysis Software is content analysis software that is easy to use, powerful, and supports sophisticated modeling. Crawdad is for researchers who wish to bring their content analyses to the next level.

Crawdad embeds a superior model of textual content, our patented technology Centering Resonance Analysis, or CRA. Whereas other methods equate word frequency with word importance, CRA is based on linguistic theory concerning how people create coherence in their communication. CRA uses natural language processing to create a network model of text. Word influence is calculated based on the structural position of the word within the CRA Network.

Interview transcripts, customer and employee comments, news articles, press releases, annual reports, emails streams, web sites, and journal articles are examples of texts that can be analyzed with Crawdad Text Analysis Software.

Crawdad Features 

Generator:  A powerful natural language processing engine which creates a network model of your text. Generator can process up to 10,000 pages of text per hour.

Visualizer: Automatically draws concept maps of your texts. Visualizer drastically reduce the amount of time it takes you to comprehend large collections of text.

Browser: Highlights keywords in the original text.

Finder: Uses one text as a query to search for other similar texts. Search results are rank ordered on a continuous scale. Finder escapes the limitations of keyword-based search and allows you to specify a whole text as a target criterion.

Comparator: Finds common and unique portions between two texts. Find changes between documents and assesses their importance in the overall structure. Cut through “boilerplate” in documents like yearly annual reports to identify important substantive changes.

Classifier: Automatically sorts texts into clusters based on similarity of content. Classifier provides a versatile interactive modeling window so you can search the entire solution space, and generate concept maps of each cluster.

Sequencer: Exports keyword metrics for further secondary analysis. Crawdad Desktop 2.0 now includes a factor analysis option that can be used to extract ontological word themes.

How to Cite Crawdad 

If you use Crawdad for your research, please share your publications with us. In order to cite your use of Crawdad in your research, please use the following:

Corman, S. and Dooley, K. (2006), Crawdad Text Analysis System, Chandler, Arizona: Crawdad Technologies, LLC.

Journal Publications That Have Used Crawdad 

Brandes, U., and Corman, S. R. (2003). Visual unrolling of network evolution and the analysis of dynamic discourse. Information Visualization, 2(1), 40-50.

Canary, H., and Jennings, M.A. (2007), “Principles and influence in codes of ethics: A centering resonance analysis comparing pre- and post-Sarbanes-Oxley codes of ethics,” Journal of Business Ethics, 80(2): 263-278.

Choi, B-J., Raghu, T.S., Vinze, A., and Dooley, K. (2009), “Process model for e-business standards development: A case of ebXML standards,” IEEE Transactions on Engineering Mansagement, 56(3): 448-467.

Corman, S., Kuhn, T., McPhee, R., and K. Dooley (2002), “Studying complex discursive systems: Centering resonance analysis of organizational communication,” Human Communication Research, 28(2): 157-206.

Craig, R.J.and J.H. Amernic (2004), “Enron discourse: the rhetoric of a resilient capitalism,” Critical Perspectives on Accounting: 15: 813-851.

Dooley, K., Corman, S., and R. McPhee (2002), “A knowledge directory for identifying experts and areas of expertise,” Human Systems Management: 21(4): 217-228.

Dooley, K., Corman, S., McPhee, R., and T. Kuhn (2003), “Modeling high-resolution broadband discourse in complex adaptive systems,” Nonlinear Dynamics, Psychology, & Life Sciences, 7(1): 61-86.

Dooley, K., and Corman, S. (2004), “Dynamic analysis of news streams: Institutional versus environmental effects,” Nonlinear Dynamics, Psychology, & Life Sciences, 8(3): 403-428.

Johnson, J., and Krempel, L. (2004), “Network visualization: The "Bush Team" in Reuters news ticker 9/11-11/15/01,” Journal of Social Structure, Vol. 5.

Kuhn, T., & Corman, S. R. (2003). The emergence of homogeneity and heterogeneity in knowledge structures during a planned organizational change. Communication Monographs, 70(3).

Lee, P., and James, E. (2007), “She’E’Os: Gender effects and investor reactions to the announcements of top executive appointments,” Strategic Management Journal 28: 227-241.

Lichtenstein, B., Dooley, K., and Lumpkin, T. (2006), “An emergence event in new venture creation: Measuring the dynamics of nascent entrepreneurship,” J. of Business Venturing, 21(2):153-175.

McPhee, R., Corman, S., and K. Dooley (2002), “Organizational knowledge expression and management: Centering resonance analysis of organizational discourse,” Management Communication Quarterly, 16(2), p. 130-136.

Oliveira, M. (2008), “Fighting a smoky fire: an analysis of Philip Morris's CEO speeches according to image restoration strategies,” Social Responsibility Journal, 4: 1, 228-245.

Oliveira, M., and Murphy, P. (2009), “The leader as the face of a crisis: Phillip Morris’ CEO Speeches during the 1990s,” Journal of Public Relations Research, 21(4): 361-380.

Papacharissi, Z., and Oliveira, M. (2008), “News frames terrorism: A comparative analysis of frames employed in terrorism coverage in U.S. and U.K. newspapers,” The International Journal of Press Politics, 1:52-74.

Patterson, L., Dooley, K. Baldwin, S. Eoyang, G, Holladay, R. Silva, R., and Webster, J.P. (2005). “Exploring computerized text analysis to study literacy policy and practice,” 54th Yearbook of the National Reading Conference, 257-271.

Rossetti, C., and Dooley, K. “Job types in the supply chain management profession,” accepted for publication in Journal of Supply Chain Management.

Tate, W., Ellram, L., and Kirchoff, J. (2010), “Corporate social responsibility reports: A thematic analysis related to supply chain management,” Journal of Supply Chain Management, 46(1): 19-44.

White, K.R. & Dandi, R. (2009), “Intrasectoral Variation in Mission and Values: The Case of Catholic Health Care Systems,” Health Care Management Review 34(1), 68-79.