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system, text-labeling and porting of CATPAC output for the
Galileo system of paired-comparison conceptual visualization. CATPAC and the Galileo system are still in commercial use today, and with recent data capture and visualization contributions, continues to grow. Contributions by other students at the university resulted in the software that is still in commercial use today. It uses text files as input and produces output such as word and alphabetical frequencies as well as various types of cluster analysis.
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centralities of concepts. The word-by-word matrix represents the relationship between one word and the occurrence of another. Catpac identifies important words and patterns based on the organization of the text. This process mimics the connections between neurons in a human brain, strengthening
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for the analysis of attitude formation and change in the sociological context. Contributions by Rob
Zimmelman, an undergraduate and graduate student at the University of Albany, from 1981 to 1984 on the Univac 1100 mainframe, included the inclusion of the CATPAC software in the Galileo*Telegal
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Catpac has been used in commercial studies, in academic scholarship to investigate massive textual data sets, as a strong semantic network analysis tool, for longitudinal analyses, for multilingual analyses, as a predictor of media usage and as a powerful content analysis tool.
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is a computer program that analyzes text samples to identify key concepts contained within the sample. It was conceived chiefly by
Richard Holmes, a Michigan State computer programmer and Dr.
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Kim, J.H.; Su, T-Y.; Hong, J. (2007). "The influence of geopolitics and foreign policy on the U.S. and
Canadian media: An analysis of newspaper coverage of Sudan's Darfur conflict".
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Cheong, P.; Hwang, J.; Elbirt, B.; Chen, H.; Evans, C.; Woelfel, J (2010). "Media use as a function of identity: The role of the self concept in media usage". In Hinner, M. (ed.).
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Chen, H.; Evans, C.; Battleson, B.; Zubrow, E.; Woelfel, J. (10 October 2011). "Procedures for the precise analysis of massive textual datasets".
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Catpac, conceived as an improvement to simple word-count software more than 30 years ago, is currently available in windows 32 bit format.
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Murphy, P.; Maynard, M. (2000). "Framing the genetic testing issue: Discourse and cultural clashes among policy communities".
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Longitudinal analysis of press coverage of violent video games: Assessing agenda-setting via semantic and LIWC analyses
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Doerfel, M. L.; Barnett, G. A. (1999). "A semantic network analysis of the
International Communication Association".
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420:]. The interrelationship of business and communication. Vol. 6. Berlin: Peter Lang. pp. 365–381.
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Rosen, D.; Woelfel, J.; Krikorian, D.; Barnett, G.A. (2003). "Procedures for analyses of online communities".
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connections through conditioning to generate a pattern of similarities among all words within a body of text.
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386:. International Network for Social Network Analysis (INSNA) Sunbelt conference. St. Pete Beach, FL.
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Unsupervised artificial neural networks for pattern recognition in multilingual text
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Doerfel, M. L.; Barnett, G. A. (1996). "The use of CATPAC for textual analysis".
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output organizing words throughout the text by creating a weighted word-by-word
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Evans, C.; Chen, H.; Battleson, B.; Wölfel, J.K.; Woelfel, J. (2010).
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Evans, C.; Chen, H.; Battleson, B.; Wölfel, J.K.; Woelfel, J. (2008).
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Freiberger beiträge zur interkulturellen und wirtschaftskommunikation
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174:. National Communication Association Conference. San Francisco, CA.
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used for text analysis. The program generates a multidimensional
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A longitudinal analysis of the newspaper coverage of cell phones
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A forum for general and intercultural business communication
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Neural networks for pattern recognition in multilingual text
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435:(2nd ed.). Thousand Oaks, CA: SAGE Publications.
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Content analysis: An introduction to its methodology
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Egnoto, M.; Nam, Y.; Vishwanath, A (November 2010).
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The
Harvard International Journal of Press/Politics
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143:(Version 2.0 ed.). The Galileo Company.
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452:The Content Analysis Guidebook Online
448:"Quantitative text analysis programs"
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102:"Quantitative Text Analysis Programs"
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278:Ortega, C.R.; Egnoto, M.J. (2011).
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190:Human Communication Research
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431:Krippendorff, K. (2004).
401:. Amherst, NY: RAH Press.
52:artificial neural network
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307:10.1177/1081180x07302972
138:"Catpac II User's Guide"
496:Data analysis software
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16:Text analysis software
330:Science Communication
62:that establishes the
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28:University at Buffalo
282:. NYSCA conference.
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458:on 1 July 2012
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42:Catpac is a
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462:26 November
64:eigenvector
31:sociologist
248:(2): 4–7.
112:2010-11-26
88:References
350:143663868
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262:144484166
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60:matrix
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50:(IAC)
38:Design
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346:S2CID
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