1 repositorio
Awesome GitHub RepositoriesTopic Distribution Visualizers
Graphical tools for visualizing how topics are spread across different document categories.
Distinct from Statistical Distribution Visualizers: Specializes statistical distribution visualization to the specific context of topic-document class distributions.
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Awesome Topic Distribution Visualizers GitHub Repositories
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- maartengr/bertopic
MaartenGr/BERTopic
7,403Ver en GitHubBERTopic is a topic modeling library used to extract interpretable themes from collections of text documents and images. It functions as a document clustering framework that transforms unstructured data into numerical vectors to group semantically similar content. The project distinguishes itself through a multimodal embedding tool that allows for joint clustering of text and images in a shared vector space. It also features a class-based TF-IDF representation engine to identify representative words for clusters and an integrated system for using large language models to generate natural lang
Creates graphical representations showing how topics are distributed across different document classes.
Pythonbertldavismachine-learning
