Draft book

[walshbr]

Potentially the worst issue ever.

By my count, there are 35 sections here. As of now you've solidly drafted 14 of them.

11 chapters with 3 sections each. Plus Preface and conclusion.

1. Preface √
2. Introduction √
3. why read with a computer √
4. google ngram viewer
5. exercises
6. close reading √
7. prism part one √
8. exercises √
9. crowdsourcing √
10. prism part 2 √
11. exercises √
12. TEI √
13. NINES and archives - begun
14. exercises
15. problems with data
16. bookworm
17. exercises
18. how computers read - begun
19. voyant pt. 1 √
20. exercises
21. distant reading - begun
22. voyant pt. 2 √
23. exercises
24. bags of words
25. topic modeling pt 1
26. exercises
27. topics over time
28. topic modeling pt 2
29. exercises
30. sentiment analysis
31. prism for sentiment analysis
32. exercises
33. where to go next √
34. further resources
35. adapting this book √

[walshbr]

15/35 with addition of chapter one exercises.

Preface √ Introduction √ why read with a computer √ google ngram viewer exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives - begun exercises problems with data bookworm exercises how computers read - begun voyant pt. 1 √ exercises distant reading - begun voyant pt. 2 √ exercises bags of words topic modeling pt 1 exercises topics over time topic modeling pt 2 exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

16/35 for ngram viewer Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives - begun exercises problems with data bookworm exercises how computers read - begun voyant pt. 1 √ exercises distant reading - begun voyant pt. 2 √ exercises bags of words topic modeling pt 1 exercises topics over time topic modeling pt 2 exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

includes exercises for tei and archives now. 17/35 for ngram viewer Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives - begun exercises√ problems with data bookworm exercises how computers read - begun voyant pt. 1 √ exercises distant reading - begun voyant pt. 2 √ exercises bags of words topic modeling pt 1 exercises topics over time topic modeling pt 2 exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

18/35 by adding exercises for voyant part one - will need to double check to make sure that both texts really are fictional. But I'm almost certain they are.

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives - begun exercises√ problems with data bookworm exercises how computers read - begun voyant pt. 1 √ exercises√ distant reading - begun voyant pt. 2 √ exercises bags of words topic modeling pt 1 exercises topics over time topic modeling pt 2 exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

19/35 with draft of NINES and Archives complete

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives √ exercises√ problems with data bookworm exercises how computers read - begun voyant pt. 1 √ exercises√ distant reading - begun voyant pt. 2 √ exercises bags of words topic modeling pt 1 exercises topics over time topic modeling pt 2 exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

20/35 with draft of NINES and Archives complete

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives √ exercises√ problems with data√ bookworm exercises how computers read - begun voyant pt. 1 √ exercises√ distant reading - begun voyant pt. 2 √ exercises bags of words topic modeling pt 1 exercises topics over time topic modeling pt 2 exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

21/35 with draft of how computers read.

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives √ exercises√ problems with data√ bookworm exercises how computers read√ voyant pt. 1 √ exercises√ distant reading - begun voyant pt. 2 √ exercises bags of words topic modeling pt 1 exercises topics over time topic modeling pt 2 exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

23/35 with zotero and exercises drafted.

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives √ exercises√ problems with data√ Zotero√ exercises√ how computers read√ voyant pt. 1 √ exercises√ distant reading - begun voyant pt. 2 √ exercises bags of words topic modeling pt 1 exercises topics over time topic modeling pt 2 exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

24/35 with distant reading drafted

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives √ exercises√ problems with data√ Zotero√ exercises√ how computers read√ voyant pt. 1 √ exercises√ distant reading√ voyant pt. 2 √ exercises bags of words topic modeling pt 1 exercises topics over time topic modeling pt 2 exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

25/35 with distant reading exercises drafted

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives √ exercises√ problems with data√ Zotero√ exercises√ how computers read√ voyant pt. 1 √ exercises√ distant reading√ voyant pt. 2 √ exercises √ bags of words topic modeling exercises supervised classifiers classifying texts exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

26/35 with bags of words done

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives √ exercises√ problems with data√ Zotero√ exercises√ how computers read√ voyant pt. 1 √ exercises√ distant reading√ voyant pt. 2 √ exercises √ bags of words √ topic modeling case studies exercises supervised classifiers classifying texts exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

27/35 with topic modeling case studies done

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives √ exercises√ problems with data√ Zotero√ exercises√ how computers read√ voyant pt. 1 √ exercises√ distant reading√ voyant pt. 2 √ exercises √ bags of words √ topic modeling case studies√ exercises supervised classifiers classifying texts exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

28/35 with topic modeling exercises drafted

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives √ exercises√ problems with data√ Zotero√ exercises√ how computers read√ voyant pt. 1 √ exercises√ distant reading√ voyant pt. 2 √ exercises √ bags of words √ topic modeling case studies√ exercises√ supervised classifiers classifying texts exercises sentiment analysis prism for sentiment analysis exercises where to go next √ further resources adapting this book √

[walshbr]

29/35 with topic modeling exercises drafted

Preface √ Introduction √ why read with a computer √ google ngram viewer√ exercises √ close reading √ prism part one √ exercises √ crowdsourcing √ prism part 2 √ exercises √ TEI √ NINES and archives √ exercises√ problems with data√ Zotero√ exercises√ how computers read√ voyant pt. 1 √ exercises√ distant reading√ voyant pt. 2 √ exercises √ bags of words √ topic modeling case studies√ exercises√ supervised classifiers classifying texts exercises sentiment analysis prism for sentiment analysis exercises√ where to go next √ further resources adapting this book √

[walshbr]

29/35 with sentiment analysis exercises drafted (since it now seems to make more sense to work from the other direction, with what remains)

supervised classifiers classifying texts classifier exercises sentiment analysis prism for sentiment analysis further resources

[walshbr]

30/35 with sentiment analysis drafted (since it now seems to make more sense to work from the other direction, with what remains)

Remaining: supervised classifiers classifying texts classifier exercises prism for sentiment analysis further resources

[walshbr]

31/35 with sentiment analysis in action drafted (since it now seems to make more sense to work from the other direction, with what remains)

Remaining: supervised classifiers classifying texts classifier exercises further resources

[walshbr]

32/35 with classifying texts. (since it now seems to make more sense to work from the other direction, with what remains)

Remaining: classifying texts classifier exercises further resources

[walshbr]

34/35 with classifying texts. Remaining: further resources - just need to add some other stuff to it.