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README.md
Simple document term matrix example.ipynb
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second assignment.md
textmining_blackboxes.py
third assignment.md

README.md

Computing in Context

Social Sciences Track

Matthew L. Jones

Highly provisional

Lecture 18 (March 26): Working with numbers

csv, excel importing
pandas, tables, basic matrix and vector operations
basic summarization
boolean indexing
simple graphing

READ BEFORE CLASS:

Check out this data source: https://www.ipums.org/

Lecture 20 (April 2): Working with text (the good)

plurality of sources
basic text mining ideas: stemming, stopwords, word frequencies
measuring similarity

READ BEFORE CLASS:

Check out this data source:Capitol Words

Recitation 10 (April 3): text processing project

Lecture 22 (April 9) Working with texts (the bad and ugly)

pdf extraction
regex
text mining: LSA, LDA and friends (gensim)

READ BEFORE CLASS:

Lecture 24 (April 16) Working with networks

introductory social network analysis
networkx, gephi

READ BEFORE CLASS

Recitation 12 (April 18): dictionaries project

Using aad.archives.gov public sector strike information
(http://aad.archives.gov/aad/content/aad_docs/rg257_workstop_recordlayout_1953-77_1_of_2.pdf)
(http://aad.archives.gov/aad/content/aad_docs/rg257_workstop_recordlayout_1953-77_2_of_2.pdf)

Lecture 26 (April 23): Working with places

census, mapping, python and GIS

Lecture 28 (April 30): Track finale

Recitation 14 (May 1): Project 3 due -- advanced

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