https://github.com/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.

documents elasticsearch embeddings fca ner ner-clustering sentence-transformers text-data top2vec topic-aggregation topics-modeling visualisation

Last synced: 26 Feb 2025