cognitivefactory/interactive-clustering
Python package used to apply NLP interactive clustering methods.
This tool helps data trainers or analysts create better-categorized text data for AI models. You provide unlabelled text, and it groups similar texts together. You then offer feedback on these groupings, and the tool uses your input to refine its classifications, producing more accurate and relevant text categories for training. It's ideal for anyone building conversational AI, chatbots, or other NLP applications.
No commits in the last 6 months.
Use this if you need to precisely categorize large amounts of unlabelled text data for machine learning and want to guide the clustering process with your expert knowledge.
Not ideal if you're looking for a fully automated text categorization solution without any human intervention or a graphical user interface.
Stars
11
Forks
1
Language
Python
License
—
Category
Last pushed
Dec 18, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/cognitivefactory/interactive-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)