english149f2014

If you are citizen of an European Union member nation, you may not use this service unless you are at least 16 years old.
You already know Dokkio is an AI-powered assistant to organize & manage your digital files & messages. Very soon, Dokkio will support Outlook as well as One Drive. Check it out today!

Class 6 Notes

Page history last edited by Alan Liu 9 years, 6 months ago

Preliminary Class Business

Attendance
Preview of readings and practicum for Class 7

Choice of practicums for Class 7 or Class 8 (do only one if you wish)

Form up into teams:

Step A: Tell the class about:

Your intellectual and literary (or related) interests,
Any initial ideas you have for projects,
Any relevant skill set or experience.

Step B: Talk to each other (get up, move around, etc.)
Step C: Form teams

Initial team task: meet once outside class before next Thursday to begin brainstorming a project

In-class project brainstorming workshop in Class 9

Project idea presentations in Classes 10-11

Text Analysis

1. Text Analysis Practicums

Practicum Folder

Google Books Ngram Viewer

Word and Phrase.info

Voyant Tools

Lacey Smith

AntConc

Gabriela Medina

CLAWS

Stanford Named Entity Recognizer (NER)

Ben Chan

Sentiment Analysis

Poem Viewer

Overview

Topic Modeling

Tristan Denton

2. "2,958 Nineteenth-Century British Novels"

Stanford Literary Lab

Pamphlet series

Ryan Heuser and and Long Le-Khac, "A Quantitative Literary History of 2,958 Nineteenth-Century British Novels: The Semantic Cohort Method" [PDF] (2012)

(p. 3) the "meaning" problem
(p. 4) The "semantic field" approach
(p. 5) The historical trend correlation requirement
(p. 6) "Correlator" tool
(p. 7) Historical Thesaurus of the Oxford English Dictionary
(p. 8) word cohort ("semantic field") examples
(p. 11) (p. 19): The "discovery"
(p. 31) mapping over "understandable units"
(p. 35) (p. 37 ff.) Interpretative conclusions

3. The Big Picture

Atomic units
Molar units (e.g., words cohorts cohorts in time statistical frequencies & concordances)
Aggregate views
Mapping of aggregate views over "understandable units"
Balance between "trained" methods" and "tabula rasa" interpretation
Goals: evidence & discovery

The world as "system"

E.g., N. Katherine Hayles, How We Think: Digital Media and Contemporary Technogenesis (2012), pp. 27-31 on "Scale Matters" [PDF]

The world as "probability"

Topic modeling, e.g., Ted Underwood, "Topic Modeling Made Just Simple Enough" (2012)

Text analysis based on encoding (e.g., WordHoard)

Text analysis based on "tabula rasa interpretation" (and machine learning)

Comments (0)

You don't have permission to comment on this page.