Text Analysis

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Bara, Judith, Albert Weale, and Aude Bicquelet. 2007. “Analysing Parliamentary Debate with Computer Assistance.” Swiss Political Science Review 13: 577–605. http://dx.doi.org/10.1002/j.1662-6370.2007.tb00090.x.
Baumgartner, Frank R., Christoffer Green-Pedersen, and Bryan D. Jones. 2008. Comparative Studies of Policy Agendas. Routledge.
Benoit, Kenneth, and Michael Laver. 2007. “Estimating Party Policy Positions: Comparing Expert Surveys and Hand-Coded Content Analysis.” Electoral Studies 26: 90–107. http://www.sciencedirect.com/science/article/pii/S0261379406000394.
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Benoit, Kenneth, Michael Laver, and Slava Mikhaylov. 2009. “Treating Words as Data with Error: Uncertainty in Text Statements of Policy Positions.” American Journal of Political Science 53: 495–513. http://dx.doi.org/10.1111/j.1540-5907.2009.00383.x.
Benoit, Kenneth, Michael Laver, and Slava Mikhaylov. 2009. “Treating Words as Data with Error: Uncertainty in Text Statements of Policy Positions.” American Journal of Political Science 53: 495–513. http://dx.doi.org/10.1111/j.1540-5907.2009.00383.x.
Benzécri, J.-P. 1992. Correspondence Analysis Handbook. Edited by D. B. Owen. New York: Marcel Dekker.
Budge, Ian, and Paul Pennings. 2007. “Do They Work? Validating Computerised Word Frequency Estimates against Policy Series.” Electoral Studies 26: 121–29. http://www.sciencedirect.com/science/article/pii/S0261379406000412.
Däubler, Thomas, Kenneth Benoit, Slava Mikhaylov, and Michael Laver. 2013. “Natural Sentences as Valid Units for Coded Political Texts.” British Journal of Political Science.
Grimmer, Justin. 2010. “A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases.” Political Analysis 18: 1–35. http://pan.oxfordjournals.org/content/18/1/1.abstract.
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Grimmer, Justin. 2010. “A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases.” Political Analysis 18: 1–35. http://pan.oxfordjournals.org/content/18/1/1.abstract.
Herrera, Yoshiko, Bear F. Braumoeller, Cynthia Hardy, Bill Harley, Nelson Phillips, Neta C. Crawford, Will Lowe, et al. 2004. “Symposium: Discourse and Content Analysis.” Qualitative Methods: Newsletter of the American Political Science Association Organized Section on Qualitative Methods 2: 15–39.
King, Gary, and Ying Lu. 2008. “Verbal Autopsy Methods with Multiple Causes of Death.” Statistical Science 23: 78–91. http://projecteuclid.org/euclid.ss/1215441286.
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Klingemann, Hans-Dieter, A. Volkens, J. Bara, I. Budge, and M. D. McDonald. 2006. Mapping Policy Preferences II : Estimates for Parties, Electors, and Governments in Eastern Europe, European Union, and OECD 1990-2003. New York: Oxford University Press.
Klingemann, Hans-Dieter, A. Volkens, J. Bara, I. Budge, and M. D. McDonald. 2006. Mapping Policy Preferences II : Estimates for Parties, Electors, and Governments in Eastern Europe, European Union, and OECD 1990-2003. New York: Oxford University Press.
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Laver, Michael, and John Garry. 2000. “Estimating Policy Positions from Political Texts.” American Journal of Political Science 44: 619–34. http://www.jstor.org/stable/2669268.
Laver, Michael, and John Garry. 2000. “Estimating Policy Positions from Political Texts.” American Journal of Political Science 44: 619–34. http://www.jstor.org/stable/2669268.
Laver, Michael, Kenneth Benoit, and John Garry. 2003. “Extracting Policy Positions from Political Texts Using Words as Data.” American Political Science Review 97: 311–31. http://dx.doi.org/10.1017/S0003055403000698.
Lowe, Will. 2007. “Software for Content Analysis: A Review.” Cambridge, Mass. http://dl.conjugateprior.org/preprints/content-review.pdf.
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Lowe, Will. 2003. “Software for Content Analysis: A Review.” Cambridge, Mass. http://dl.conjugateprior.org/preprints/content-review.pdf.
Lowe, Will, Kenneth Benoit, Slava Mikhaylov, and Michael Laver. 2011. “Scaling Policy Preferences from Coded Political Texts.” Legislative Studies Quarterly 36: 123–55. http://dx.doi.org/10.1111/j.1939-9162.2010.00006.x.
Mikhaylov, Slava, Michael Laver, and Kenneth R. Benoit. 2012. “Coder Reliability and Misclassification in the Human Coding of Party Manifestos.” Political Analysis 20: 78–91. http://pan.oxfordjournals.org/content/20/1/78.abstract.
Monroe, Burt L., and K. Maeda. 2004. “Rhetorical Ideal-Point Estimation: Mapping Legislative Speech.” presented at the Society for Political Methodology, Stanford University, Palo Alto, CA.
Monroe, Burt L., Michael P. Colaresi, and Kevin M. Quinn. 2008. “Fightin’ Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict.” Political Analysis 16: 372–403. http://pan.oxfordjournals.org/content/16/4/372.abstract.
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Pennebaker, James W., and Cindy K. Chung. 2009. “Computerized Text Analysis of Al-Qaeda Transcripts.” In The Content Analysis Reader, edited by Klaus Krippendorf and Mary Angela Bock, 453–65. Thousand Oaks, CA: SAGE Publications, Inc.
Pennebaker, James W., and Cindy K. Chung. 2009. “Computerized Text Analysis of Al-Qaeda Transcripts.” In The Content Analysis Reader, edited by Klaus Krippendorf and Mary Angela Bock, 453–65. Thousand Oaks, CA: SAGE Publications, Inc.
Pennings, Paul, and Hans Keman. 2002. “Towards a New Methodology of Estimating Party Policy Positions.” Quality & Quantity 36: 55–79. http://dx.doi.org/10.1023/A:1014380123135.
Roberts, Carl W. 2000. “A Conceptual Framework for Quantitative Text Analysis.” Quality & Quantity 34: 259–74. http://dx.doi.org/10.1023/A:1004780007748.
Seale, Clive, Sue Ziebland, and Jonathan Charteris-Black. 2006. “Gender, Cancer Experience and Internet Use: A Comparative Keyword Analysis of Interviews and Online Cancer Support Groups.” Social Science & Medicine 62: 2577–90. http://www.sciencedirect.com/science/article/pii/S027795360500609X.
Simon, Adam F., and Michael Xenos. 2004. “Dimensional Reduction of Word-Frequency Data as a Substitute for Intersubjective Content Analysis.” Political Analysis 12: 63–75. http://pan.oxfordjournals.org/content/12/1/63.abstract.
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Slapin, Jonathan B., and Sven-Oliver Proksch. 2008. “A Scaling Model for Estimating Time-Series Party Positions from Texts.” American Journal of Political Science 52: 705–22. http://dx.doi.org/10.1111/j.1540-5907.2008.00338.x.
Slapin, Jonathan B., and Sven-Oliver Proksch. 2008. “A Scaling Model for Estimating Time-Series Party Positions from Texts.” American Journal of Political Science 52: 705–22. http://dx.doi.org/10.1111/j.1540-5907.2008.00338.x.
Stone, Philip J. 1997. “Thematic Text Analysis: New Agendas for Analyzing Text Content.” In Text Analysis for the Social Sciences, edited by Carl W. Roberts, 35–54. Mahwah, N.J.: Lawrence Erlbaum Associates.
Atteveldt, Wouter van, Jan Kleinnijenhuis, and Nel Ruigrok. 2008. “Parsing, Semantic Networks, and Political Authority Using Syntactic Analysis to Extract Semantic Relations from Dutch Newspaper Articles.” Political Analysis 16: 428–46. http://pan.oxfordjournals.org/content/16/4/428.abstract.