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#text

3 posts3 participants0 posts today
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Karsten Schmidt

Recently I've combined various functions which I've been using in other projects (e.g. my personal PKM toolchain) and published them as new library thi.ng/text-analysis for better re-use:

- customizable, composable & extensible tokenization (transducer based)
- ngram generation
- Porter-stemming & stopword removal
- vocabulary (bi-directional index) creation
- dense & sparse multi-hot vector encoding/decoding
- histograms (incl. sorted versions)
- tf-idf (term frequency & inverse document frequency), multiple strategies
- k-means clustering (with k-means++ initialization & customizable distance metrics)
- similarity/distance functions (dense & sparse versions)
- central terms extraction

The attached code example (also in the project readme) uses this package to creeate a clustering of all ~210 #ThingUmbrella packages, based on their assigned tags/keywords...

The library is not intended to be a full-blown NLP solution, but I keep on finding myself running into these functions/concepts quite often, and maybe you'll find them useful too...

Commented and syntax-highlighted TypeScript source code/example from the project readme, showing different steps, transformations and analysis results and how to create a k-means clustering of 200+ projects
#Text#Analysis#Cluster
Public
SuperSnufkin

He reunido las herramientas que he hecho en un solo lanzador de mis "Pachi-apps" jeje, el resultado es un "MicroOS" (Que de OS no tiene nada jajaja pero me gusta cómo suena) tiene las herramienta que he hecho y que suelo utilizar. Pronto disponible en mi GitHub y Codeberg (Que ya estoy migrando a este último)

#python#developer#development
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dzamie

Not gonna lie, I read "they had to call an ambulance for him" and assumed this was going to be a request for financial support. Like, "my kid had an ambulance called, so now we're $8k in the hole" kind of thing.

Pleasantly surprised that's not the case, but I wish I wasn't!


#text #healthcare
#healthcare
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