Since OpenPaths is dead, we switched to WHIB, which isn't owned by Facebook (or actually also dead now) and doesn't drain the battery of my phone quickly.
A 2$ premium feature let's you export all the data as CSV, which is easy to parse and display.

whib

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In this notebook I would like to share how to process the work with text to build topics. To make it more attractive - apply NLP to the Stock Descriptions.
We will load and build the models with cool 3d visualization.
I encourage you to clone this notebook and play with every parameter to fine tune the result as your sticky mind would like.

nlp-plot-in-3d-stocks-description

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parsing-sample

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parse-studies

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kyso-tips-and-tricks

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ml-with-python

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regularized

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logreg

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Kyso beta

whib

amatusevski

nlp-plot-in-3d-stocks-description

amatusevski

parsing-sample

amatusevski

parse-studies

amatusevski

kyso-tips-and-tricks

amatusevski

ml-with-python

amatusevski

regularized

amatusevski

logreg

amatusevski

amatusevski

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