Preliminary Class Business
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Upcoming solo assignments: preview of portfolio; essay #1
- Readings for next class.
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Practicum 6: Social Network Analysis Instructions for this practicum | Folder of exercises on Student Work page
- Introduction to Transcriptions Center lab (move down hall to South Hall 2509)
- Drop-in hours at the lab
1. Thinking Ahead to the Class Project
- Transcriptions Research Slam, "SynchDH" (May 8th)
- Your initial ideas about a corpus to study?
2. Topic Modeling
Readings for Class 6:
- Ted Underwood, "Topic Modeling Made Just Simple Enough" (2012)
- Matthew L. Jockers, "The LDA Buffet is Now Open; or, Latent Dirichlet Allocation for English Majors" (2011)
- "500 Themes from a corpus of 19th-Century Fiction" (interactive site for exploring Jockers' topic modeling of his corpus of Irish-American literature; try it out)
Other resources:
- Andrew Goldstone's site for exploring and visualizing the topic models for the essay, Andrew Goldstone and Ted Underwood, "The Quiet Transformations of Literary Studies: What Thirteen Thousand Scholars Could Tell Us" [PDF] (2014) (preprint version). (See also Andrew Goldstone's site for exploring and visualizing topic models 40 years of the Signs journal)
- Use of topic modeling for the 4Humanities.org "WhatEver1Says" project: see examples from recent meeting notes
- Building blocks of text analysis:
- Counting (frequency)
- Co-occurrence (collocation)
- Clustering
- Comparison with reference corpus (as "corpus" is understood in field of corpus linguistics)
- Antconc
- corpus.byu.edu
- Related idea of "culturonomics" or "cultural analytics"--e.g.,
- Google Ngram Viewer
- Jean-Baptiste Michel, Erez Lieberman Aiden, et al., "Quantitative Analysis of Culture Using Millions of Digitized Books" (2011) (paywalled; UCSB students have free access from UCSB campus or Library Proxy server)
- HathiTrust Research Center Portal
- Other important supporting or complementary methods of text analysis:
- Parts-of-speech analysis (POS)
- Named entity recognition (NER)
- Sentiment analysis
- Visualization
- Currently leading-edge advanced methods of text analysis that build on top of the lower-level "building block" methods above:
- topic modeling
- social network analysis
- The idea of topic modeling
3. Your Practicums