• Upcoming DH events
• Relevant to our last class on text analysis and film: Movie Measurement & Study Tool Database
• Preview of readings and assignments for Class 6

Intro to Class

• David M. Blei, "Topic Modeling and Digital Humanities" (2012)

• Percy Ross's practicum

• Gabe Baker's practicum
• Bhargavi Narayanan's practicum

• Nissa Cannon's practicum
• Elizabeth Allen's practicum
• Inez's practicum
• Rebecca Chenoweth's practicum
• Corrigan's practicum
• Philip Cortes's practicum

• Nicole Dib's practicum
• Dalia Bolotnikov's practicum

• Ashley Champagne's practicum
• Juan Llamas-Rodriguez's practicum

• Alan Liu's practicums:
• Lyrical Ballads sample (using In-Browser Topic Modeling Tool, javascript implementation of LDA) 
• Input text file: lyrical-ballads.txt
• Topic model
• 4Humanities WhatEvery1Says corpus sample (using Topic Modeling Tool, Java implementation of LDA))
• Project description
• Spreadsheet
• Text input file (single file): whatevery1says-test1.txt
• Topic Models (using David Newman's Topic Modeling Tool)--at various numbers of topics:
• 10
• 20
• 30
• 40
• 50
• Text input folder (individual file per document): input-separate-files
• Topic Models (using TMT)--at various numbers of topics:
• 10
• 20
• 30
• 40
• 50

• Charlyne Sarmiento's practicum

• Pattern
• Scale phenomena / Cyclical phenomena
• Quantitative phenomena
• Probabilistic phenomena
• [Network phenomena]

                                               Conceptual graph by Matt Burton

• "signal"
• "model"
• "field" (cf. Marshall McLuhan, excerpts from Understanding Media)
• the unknown

• Theory:
• The Historian's Macroscope, "Topic Modeling by Hand"
• David M. Blei, "Topic Modeling and Digital Humanities" (2012)
• Matt Burton, "The Joy of Topic Modeling" (2013)
• Ted Underwood
• "Topic Modeling Made Just Simple Enough" (2012)
• "What Kinds of "Topics" Does Topic Modeling Actually Produce?" (2012)
• Matthew L. Jockers
• "The LDA Buffet is Now Open; or, Latent Dirichlet Allocation for English Majors" (2011)
• Additional resources for discussion:
• Bayesian probability
• Boris Tomashevsky, "Thematics" [PDF] (1925)
• Vladimir Propp, Morphology of the Folktale (1928/1968), pp. 92-93
   

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• Practice: "Recipes" for Text Preparation and Modeling (plus research on next-step processes):
• Matthew L. Jockers, "'Secret' Recipe for Topic Modeling Themes"
• Stop lists ("Expanded Stopwords List")
• Parts of speech filtering
• "Chunking"
• Andrew Goldstone & Ted Underwood, "Code Used ... in Analyzing Topic Models of Literary-studies Journals"
• Jonathan Chang, et al., "Reading Tea Leaves: How Humans Interpret Topic Models"
• Daniel McFarland, et al., "Differentiating Language Usage Through Topic Models"

• Matthew L. Jockers, Macroanalysis: Digital Methods and Literary History (2013) -- Chap. 8: "Theme" (Alan's highlighted copy; course password required)
• Ted Underwood and Andrew Goldstone, "What Can Topic Models of PMLA Teach Us About the History of Literary Scholarship?" (2013)
• Lisa M. Rhody, "Topic Modeling and Figurative Language" (2012)