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Digital Humanities, Topic Modelling, Sequence Alignment

POSTED BY: Sverker Lundin
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Hi Sverker, for the second part of your question, take a look at this new open source textbook on digital humanities research methods with Mathematica: http://williamjturkel.net/digital-research-methods-with-mathematica/
POSTED BY: Arno Bosse
POSTED BY: Jeffrey Lapides

For the second ou might consider Latent Semantic Analysis (LSA) approaches. One reference I found that shows something along these lines with Mathematica is a 2011 dissertation by Saurav Karmaker.

http://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1062&context=cs_diss

There are probably other references out there as well. Also there may be good methods that could avail themselves of the built in Nearest function.
POSTED BY: Daniel Lichtblau

Hi Phileas:

You're welcome. This is a very old post. I know a lot more now than I knew then. If you wish to get in touch, I may be able to help more.

For what it is worth, I have now adapted topic modeling to numerical data and applied it to microbiomic studies of Alzheimer's disease. See preprint. The methodology might be useful to you. See the part on LDA.

Jeff Lapides
Adjunct Associate Professor
Drexel University
Working from Annapolis, MD
jeffrey.lapides@gmail.com
POSTED BY: Jeffrey Lapides

This is exactly what I needed. Thank you very much!
POSTED BY: Phileas Dazeley-Gaist
POSTED BY: Sverker Lundin
POSTED BY: Arno Bosse
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