KlaraGtknst/text_topic

This repository implements a pipeline to store various data of files from a large unstructured dataset. These fields are used for topic modeling (wordclouds, based on low-dimensional versions of embedding vectors, Named Entity Clustering and document-topic incidences). The information is aggregated and visualised using FCA.

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Language

Python

License

MIT

Category

domain-specific-embeddings

Last pushed

Jan 17, 2026

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Domain-Specific Embeddings · 82 tools

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