Course Schedule

Week One–Introduction

Wednesday, January 20    Introduction–For Friday, read Ted Underwood 

Reading questions for discussion

Ted Underwood, “Seven Ways… “

Friday, January 22             What is Text Analysis?:  Examples of Projects: Word Frequencies, Concordances, Lexica

Reading for weekend Tanya Clement

Week Two  N-grams and Distant Reading

Monday, January 25        Distant Reading as a Concept: How to read thousands of books

Read David Hoover, Text Analysis for Wednesday

Wednesday, January 27    N-grams and Google Books

Friday. January 29        Bookworm/culturnomics site and exercise

Assignment/blog What is Distant Reading and how does it help us? 700 words.

Week Three–Corpus Creation

Monday, February 1        How to create a corpus– text repositories

Practicum 2 “Finding Digital Texts”

Wednesday, February 3    Corpus creation–criteria and praxis

What are you looking for?

Friday, February 5        Creating Raw Text Files

Week Four–Cleaning and Parsing your Text

Monday, February 8        Looking at corpora and metadata–Faull’s work

Possibilities with Wordseer–Example: Slave Narratives

Wednesday, February 10    Cleaning and Parsing your Text corpus

Read Ted Underwood, “Genre, Gender, and Point of View”

from: Ted Underwood, Genre, Gender and a Point of View
from: Ted Underwood, Genre, Gender and a Point of View

Friday, February 12        Preparing your corpus  — discuss Underwood reading

Assignment/blog    Critical corpus creation 500-750 words

Blog #2

Write a blog of at least 500 words on your process of corpus creation.  Describe what your process has been.

Refer back to the guidelines at http://textanalysis.blogs.bucknell.edu/course-schedule/corpus-creation/ in your blog post. Submit by Sunday 2/14 by 11.59pm using category “blog #2”.

Week Five–Text Analysis tools

Monday, February 15        Introduction to Voyant Google Drivesample .txt files for analysis

(Stefan Sinclair’s Workshop Instructions)

Wednesday, February 17    Lab: Voyant 2.0; set up

Friday, February 19        Voyant practice: complete by Sunday 11.59pm.Screenshot 2016-02-21 08.17.34

Week Six–Text Analysis and Statistics

Monday, February 22        Antconc–what is it?

Wednesday, February 24    Antconc lab

Read Laurence Anthony (2013), “A critical look at software tools in corpus linguistics”  Linguistic Research 30(2), 141-161.

Friday, February 26        Antconc lab

Assignment Comparison of your corpus and text analysis in Voyant and Antconc

Week Seven–Text Analysis and Intelligence

Monday February 29        Jigsaw — expanding your toolchest

Wednesday, March 2       Jigsaw lab  Practice

Friday, March 5        Jigsaw lab

Week Eight–Synthesis  Presentations sign up

You will each have 15 minutes to present your research so far this semester. Your talk should present (in a series of slides) a) your research question b) your corpus What is it? How did you create it? What editorial choices did you make to create the corpus? How is it representative? How have you modified your corpus to the different software you have used? c) your methodology (How are you going about answering your research question? What are the different platforms revealing?

Monday March 7        Presentations

Wednesday, March 9        Presentations

Friday, March 11        Presentations

Assignment: Write up a reflection piece on your presentations

Spring Break

Week Nine–Topic Modeling

Screenshot 2016-03-13 10.50.19Monday, March 21       What is Topic Modeling?  Topic Modeling by Hand… The Gettysburg Address

Read  “Topic Modeling: A Basic Introduction” In Journal of Digital Humanities

Wednesday, March 23    Topic Modeling with a GUI/ Introduction to Mallet

Friday, March 25        Mallet lab (optional Mallet tutorial-command line programming)

Week Ten–Sentiment Analysis

Monday, March 28       Faull in Atlanta–library day

Wednesday, March 30    Alchemy API and Jigsaw

Friday, April 1            Sentiment and Emotion in texts –mistakes and victories…

Read Stephen Ramsey, “‘patacomputing” in Reading Machines, U Illinois, 2011.

Assignment: Can machines read emotions? Using your experience with Topic Modeling and Sentiment Analysis how possible it is that machines can read semantically?  Taking three quotations from the Ramsey reading, discuss what successes and failures you have had using these methods with your corpus. Post by midnight on Sunday under the category “emotions”

Week 11–Stylometrics

Monday, April 4        Measuring Style–Skype session with Dr. James O’Sullivan, University of Sheffield, UK

Visit Lexometrics.  Start reading through the “book”, especially the chapters 3 and 4

Wednesday, April 6        Lexos platform exploration

Friday, April 8            Measuring style

Week 12–Text-Encoding

Monday, April 11        Creating Machine Readable Texts–TEI–Dr. Diane Jakacki

Wednesday, April 13        Oxygen

Friday, April 15        Oxygen and TEI and   

tweaking CSS

Assignment: Machine and Human reading…

Week 13–Final Projects

Monday, April 18

Wednesday, April 20

Friday, April 22

Week 14–Final Projects

Monday, April 25

Wednesday, April 27

Friday, April 29

Week 15

Monday, May 2–Snap Talk Presentations