I am starting to think about my own text-oriented workshop for social
scientists that would use Gigantum to help support beginners thinking more
about big-picture aspects of data projects. From there, we'd transition to
explain how you could do similar things "by hand" (e.g. using git + LFS
directly).

Ziyaad did you ever create an NLP working group? In any case, I'm happy to
contribute to core carpentry-style materials (and I can easily adapt them
to my own purposes later). And of course, if anyone wants to do stuff with
Gigantum, I'm excited to help with that! But my sense is that this
community is pretty committed to the command line ;)

In terms of concepts, I'm interested in things that will help learners grok
general ideas. So, understanding the transformation of texts to a matrix of
frequency counts, perhaps some basics of what a matrix is, and what you can
do with linear systems, and perhaps also the idea of an abstract "space"
like word2vec.

And as far as tools, I'm happy to do R or Python (and use RStudio or
Jupyter). I see one vote for Spacy - so if that's a way to get someone
on-board that sounds good to me! I've not done NLP for a few years, and
spacy looks like magical python easy (cf. XKCD <https://xkcd.com/353/>).

Best,
Dav

On Fri, Jul 19, 2019 at 9:11 AM <[email protected]> wrote:

> Hi all,
>
> just to let you know ... I'm planning to prepare a carpentries style
> course on text mining... which is a type of NLP (i.e. Natural Language
> Processing). :-)
>
> Bea Alex (Edinburgh)
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