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  Jupyter Notebook

  •6•0•0•0•Updated Mar 5, 2018Mar 5, 2018

• Content-Analysis

  Public
  Jupyter Notebook

  •34•31•3•0•Updated Mar 2, 2018Mar 2, 2018

• lucem_illud

  Public
  light from text, a collection of helper functions for the class

  Python

  •

  GNU General Public License v3.0

  •5•1•0•0•Updated Feb 27, 2018Feb 27, 2018

• 2-Mar-The-Micro-sociology-of-Violent-Confrontations

  Public
  Collins, Randall. 2009. “The Micro-sociology of Violent Confrontations” (Chapter 1) and “Confrontational Tension and Incompetent Violence” (beginning of Chapter 2) from Violence: A Microsociological Theory: 37-43.

  1•0•18•0•Updated Feb 22, 2018Feb 22, 2018

• 2-Mar-Deep-Learning

  Public
  LeCun, Yann, Yoshua Bengio & Geoffrey Hinton. 2015. “Deep Learning.” Nature 521: 436-444.

  1•0•15•0•Updated Feb 22, 2018Feb 22, 2018

• 2-Mar-Automated-Speech-Recognition

  Public
  Jurafsky, Daniel & James H. Martin. 2017 (3rd Edition). Speech and Language Processing. Singapore: Pearson Education, Inc.: Selections from Chapter 9, “Automated Speech Recognition”, 291-312.

  2•0•8•0•Updated Feb 22, 2018Feb 22, 2018

• 2-Mar-Replies-and-Responses

  Public
  Goffman, Erving. 1981. Conclusion (only pps. 308-311) from “Replies and Responses.” Language in Society 5 (3): 257-313.

  1•0•11•0•Updated Feb 22, 2018Feb 22, 2018

• 23-Feb-Tracking-Link-Formation-in-Online-Data

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  Easley, David and Jon Kleinberg. 2010. Chapter 4.4 (“Tracking Link Formation in Online Data”) and 13 (“The Structure of the Web”) from Networks, Crowds, and Markets: Reasoning about a Highly Connected World.

  1•0•17•0•Updated Feb 22, 2018Feb 22, 2018

• 23-Feb-Coding-Choices-for-Textual-Analysis-A-Comparison-of-Content-Analysis-and-Map-Analysis

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  Carley, Kathleen. 1993. “Coding Choices for Textual Analysis: A Comparison of Content Analysis and Map Analysis.” Sociological Methodology 23:75-126.

  0•0•20•0•Updated Feb 22, 2018Feb 22, 2018

• 16-Feb-Information-Extraction

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  Jurafsky, Daniel & James H. Martin. 2017 (3rd Edition). Speech and Language Processing. Singapore: Pearson Education, Inc.: Chapter 22 (“Information Extraction”): 739-778.

  1•0•12•0•Updated Feb 14, 2018Feb 14, 2018

• 16-Feb-Linguistic-foundations

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  Manning and Schütze. 1999. Foundations of Statistical Natural Language Processing. MIT Press: Chapter 3 (“Linguistic foundations”): 81-113.

  1•0•10•0•Updated Feb 14, 2018Feb 14, 2018

• 16-Feb-From-Words-to-Numbers-A-Set-Theory-Framework-for-the-Collection-Organization-and-Analysis-

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  Franzosi, Roberto. 1994. “From Words to Numbers: A Set Theory Framework for the Collection, Organization, and Analysis of Narrative Data.” Sociological Methodology 24:105-136.

  0•0•21•0•Updated Feb 14, 2018Feb 14, 2018

• 9-Feb-Ensemble-Learning

  Public
  Witten, Ian H., Eibe Frank, Mark A. Hall, Christopher J. Pal. 2017. “Ensemble Learning” Chapter 12 from Data Mining: Practical Machine Learning Tools and Techniques, 4th Edition: 351-371.

  2•0•10•0•Updated Feb 8, 2018Feb 8, 2018

• 9-Feb-Text-Classification-and-Na-ve-Bayes

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  Manning, Christopher, Prabhakar Raghavan and Hinrich Schütze. 2008. “Text Classification and Naïve Bayes”, “Vector Space Classification,” and “Support Vector Machines.” Chapters 13-16 from Introduction to Information Retrieval: 234-320.

  1•0•8•0•Updated Feb 8, 2018Feb 8, 2018

• 9-Feb-A-Method-of-Automated-Nonparametric-Content-Analysis-for-Social-Science

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  Hopkins, Daniel J. and Gary King. 2010. “A Method of Automated Nonparametric Content Analysis for Social Science”. American Journal of Political Science 54(1): 229-247.

  1•0•22•0•Updated Feb 8, 2018Feb 8, 2018

• 2-Feb-Maximum-Likelihood-Estimation-of-Observer-Error-rates-using-the-EM-Algorithm

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  Dawid, A. P., and Skene, A. M. 1979. “Maximum Likelihood Estimation of Observer Error-rates using the EM Algorithm.” Applied Statistics 28(1): 20-28.

  1•0•19•0•Updated Jan 31, 2018Jan 31, 2018

• 2-Feb-Sampling

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  Krippendorff, Klaus. 2004. Content Analysis: An Introduction to its Methodology. Thousand Oaks, CA: Sage: “Sampling” 111-124.

  1•0•23•0•Updated Jan 31, 2018Jan 31, 2018

• 26-Jan-Vector-Semantics

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  Jurafsky, Daniel and James H. Martin. 2015. Speech and Language Processing. Chapters 15-16 “Vector Semantics”

  1•0•17•0•Updated Jan 24, 2018Jan 24, 2018

• 26-Jan-The-Logic-of-Semantic-Differentiation

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  Osgood, Charles E., George J. Suci, Percy Tannenbaum. 1957. The Measurement of Meaning. Chapter 1 (“The Logic of Semantic Differentiation”):1-30.

  1•0•23•0•Updated Jan 24, 2018Jan 24, 2018

• 19-Jan-Probabilistic-Topic-Models

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  Blei, David. 2012. “Probabilistic Topic Models”. Communications of the ACM 55(4):77-84.

  2•0•18•0•Updated Jan 14, 2018Jan 14, 2018

• 19-Jan-Flat-Clustering

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  Manning, Christopher, Prabhakar Raghavan and Hinrich Schütze. 2008. “Flat Clustering” and “Hierarchical Clustering.” Chapters 16 and 17 from Introduction to Information Retrieval.

  1•0•14•0•Updated Jan 14, 2018Jan 14, 2018

• 19-Jan-Theory-Construction-in-Qualitative-Research-From-Grounded-Theory-to-Abductive-Analysis

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  Timmermans, Stefan and Iddo Tavory. 2012. “Theory Construction in Qualitative Research: From Grounded Theory to Abductive Analysis.” Sociological Theory 30(3) 167–186.

  0•0•26•0•Updated Jan 14, 2018Jan 14, 2018

• Data-Files

  Public
  Storage for some of the public data used in the class

  3•0•0•0•Updated Jan 5, 2018Jan 5, 2018

• 5-Jan-Machine-Translation-Mining-Text-for-Social-Theory

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  Evans, James and Pedro Aceves. 2016. “Machine Translation: Mining Text for Social Theory”. Annual Review of Sociology 42:21-50. DOI: 10.1146/annurev-soc-081715-074206

  0•0•20•0•Updated Jan 4, 2018Jan 4, 2018

• 12-Jan-Collocations

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  Manning and Schütze. 1999. Foundations of Statistical Natural Language Processing. MIT Press: Chapter 5 (“Collocations”): 151-189.

  0•0•25•0•Updated Jan 4, 2018Jan 4, 2018

• 12-Jan-Quantitative-Analysis-of-Culture-Using-Millions-of-Digitized-Books

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  Michel, Jean-Baptiste et al. 2010. “Quantitative Analysis of Culture Using Millions of Digitized Books.” Science express, December 16.

  2•0•31•0•Updated Jan 4, 2018Jan 4, 2018

• 2-Mar-3-Computer-vision-uncovers-predictors-of-physical-urban-change

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  Naik, Nikhil, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser, César A. Hidalgo. 2017. “Computer vision uncovers predictors of physical urban change.” PNAS 114(29):7571–7576.

  1•0•8•0•Updated Jan 3, 2018Jan 3, 2018

• 2-Mar-2-The-New-Science-of-Building-Great-Teams

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  Pentland, Alex. 2012. “The New Science of Building Great Teams.” Harvard Business Review, April 2012. http://hbr.org/2012/04/the-new-science-of-building-great-teams/ar/1

  1•0•7•0•Updated Jan 3, 2018Jan 3, 2018

• 2-Mar-1-Making-the-Connection-Social-Bonding-in-Courtship-Situations

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  McFarland, Daniel A., Dan Jurafsky, and Craig Rawlings. 2013. “Making the Connection: Social Bonding in Courtship Situations.” American Journal of Sociology, 118(6):1596-1649.

  1•0•3•0•Updated Jan 3, 2018Jan 3, 2018

• 23-Feb-3-Weaving-the-fabric-of-science-Dynamic-network-models-of-science-s-unfolding-structure

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  Feng, Shi, Jacob G. Foster, James A. Evans. 2015. “Weaving the fabric of science: Dynamic network models of science's unfolding structure.” Social Networks 43 (October 2015):73–85.

  1•0•5•0•Updated Jan 3, 2018Jan 3, 2018