robert-mcdermott/embeddings_plot

A command line utility to create a plots of word embeddings

44
/ 100
Emerging

This tool helps linguists, data analysts, or researchers visualize the relationships between words. You provide a list of words and a pre-trained word embedding model, and it generates an interactive 2D or 3D scatter plot. The plot shows how words relate to each other semantically, making abstract word embeddings easy to understand.

No commits in the last 6 months. Available on PyPI.

Use this if you need to visually explore semantic similarities and groupings within a specific set of words.

Not ideal if you need to analyze relationships between entire documents or complex textual structures beyond individual words.

natural-language-processing computational-linguistics text-analysis data-visualization
Stale 6m
Maintenance 0 / 25
Adoption 5 / 25
Maturity 25 / 25
Community 14 / 25

How are scores calculated?

Stars

9

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Dec 14, 2023

Commits (30d)

0

Dependencies

7

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/robert-mcdermott/embeddings_plot"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.