silviaruffini/text_clustering
Text Clustering with Python and Dash
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.
Stars
10
Forks
2
Language
Python
License
—
Category
Last pushed
Mar 16, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/silviaruffini/text_clustering"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models...
i-dot-ai/themefinder
A topic modelling Python package for analysing one-to-many question-answer data.
andifunke/topic-labeling
The project proposes a framework to apply topic models on a text-corpus and eventually topic...
bab2min/tomotopy
Python package of Tomoto, the Topic Modeling Tool
bobxwu/TopMost
A Topic Modeling System Toolkit (ACL 2024 Demo)