This document discusses various markup languages and tools for analyzing textual documents, including TEI (Text Encoding Initiative) tags, topic modeling, optical character recognition, and metadata standards like MARC and Dublin Core. It provides examples of using TEI tags to encode text and presents resources for mining textual sources and analyzing their contents using computational methods.

1. History
HTML
in
Christopher D. Cantwell
HIST300B-5500B
Fall 2013
@cdc29

5. TEI Tags
<i> italics </i>
<b> boldface </b>
<sc> small caps </sc>
<u> underline </u>
^superscript
_subscript
<br> break </br>
<div> div </div>
<del> deletion <del>
<abbr expan="road">Rd.

6. Manuscript
Without question, Prof. Cantwell is the world’s BEST history
instructor. Every lectur @#$%^&*~`of my day.
I wish I could take every class with him!
TEI
Without question,<abbr expan=“Professor”>Prof.
Cantwell is the world’s <b>BEST</b> history
instructor. Every lectur </del=[illegible]> of my
day.
</br>
<nbsp><i>I wish I could take every class with
him!<i/>
Display
Without question, Professor Cantwell is the world’s BEST history
instructor. Every lectur [illegible] of my day.
I wish I could take every class with him!

8. http://arxiv.culturomics.org/ChronAm/

9. Topic Modeling
Mining the Dispatch
http://dsl.richmond.edu/dispatch/
MALLETT

10. Optical Character Recognition (OCR)
DocScanner for Mac

17. METADATA
Data about data
…or…
Ways of classifying, sorting,
manipulating, and finding your sources.

18. Machine-Readable Cataloging (MARC)

23. MARC Record Basics

24. Dublin Core
1.Title
2. Creator
3. Subject
4. Description
5. Publisher
6. Contributor
7. Date
8. Type
9. Format
10. Identifier
11. Source
12. Language
13. Relation
14. Coverage
15. Rights