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Digital Humanities, Topic Modelling, Sequence Alignment

POSTED BY: Sverker Lundin
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I should add that if you have developed implementations of ARTFL's tools in Mathematica (or know of someone who has) I'd love to hear about it!

POSTED BY: Arno Bosse
POSTED BY: Sverker Lundin

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

This is exactly what I needed. Thank you very much!

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

Hi Sverker:

Topic modeling is not nearly as complicated as you might think. Here is a good introduction: http://www.youtube.com/watch?v=4p9MSJy761Y.

I have used it extensively to analyze research portfolios of the US Department of Agriculture. Some of the work was done with Mathematica, some outside with Mallet. Get in touch if you would like to know more.

Jeff Lapides jrlapides2@verizon.net

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
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