silviaruffini/text_clustering

Text Clustering with Python and Dash

26
/ 100
Experimental

This tool helps researchers and analysts make sense of large collections of text documents, like project descriptions or reports. It takes unstructured text as input and groups similar documents into meaningful topics or clusters, which are then displayed interactively. This is ideal for anyone needing to quickly identify themes and patterns within a text corpus.

No commits in the last 6 months.

Use this if you need to understand the main topics within a collection of documents and want to visualize these relationships without extensive manual review.

Not ideal if you need to extract specific named entities from text or perform highly granular sentiment analysis on individual sentences.

text-analysis research-analysis document-categorization information-discovery
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 13 / 25

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10

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2

Language

Python

License

Last pushed

Mar 16, 2021

Commits (30d)

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