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Alpha Quantum

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Oct 15 • 6 tweets • 4 min read

We published new wrappers for our website and product categorization platforms.

#PHP #website categorization wrapper: packagist.org/packages/websi…

#Python #website categorization wrapper, with #classifier using IAB taxonomy: pypi.org/project/websit…

A new article on building #machinelearning classifier for websites: devpost.com/software/websi…

If anyone has idea on this problem we have with #wordpres and #classifications: wordpress.org/support/topic/…
much appreciated

@threadreaderapp

And #nodejs package for website categorization: openbase.com/js/websitecate…
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More from @AlphaQuantumAI

Alpha Quantum

@AlphaQuantumAI

Sep 1

We launched a new #python #wrapper for #website #classification of domains and URLs:
pypi.org/project/websit…

Added a new #nodejs module for #API which returns categorized domains in terms of 440 categories for general content and 1110+ categories for #ecommerce.
npmmirror.com/package/urldat…
npmtrends.com/urldatabase
Classification is based on #machinelearning model.

For #product #categorization we added new library modules:
npmjs.com/package/produc…
openbase.com/js/productcate…

Read 6 tweets

Alpha Quantum

@AlphaQuantumAI

May 10

New article on #websites #classification discussing possible #taxonomy that can be used (IAB, Google, Facebook, etc.) as well as #machinelearning models:
explainableaixai.github.io/websitesclassi…

list of useful resources: linktr.ee/airesearcher

a new telegram channel where will post about #explainableai (#XAI for short):
t.me/s/explainablea…
there are now many useful libraries available for doing #explainability of #AI models: SHAP, LIME, partial dependence plots PDP. And also the "classical" feature importance.