Skip to main content

Visualization of text embeddings/vectorization with clustering

Project description

Visualize embed of documents

Install requirements and spacy model

You could use conda

conda create --name embedisualization python=3.6

source activate embedisualization

pip install -r requirements.txt

python -m spacy download en_vectors_web_lg

This spacy model (en_vectors_web_lg)[] is quite heavy (631MB)

Install embedisualization lib

pip install embedisualization


To run exemplary visualisation go to examples directory and run


It will take minute or two to generate embeddings and create 2D vis. The new webpage with D3 visualisation will be presented.

Sample of Trump's Tweets Embedisualized

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

embedisualization-0.4.tar.gz (4.3 kB view hashes)

Uploaded source

Built Distribution

embedisualization-0.4-py3-none-any.whl (4.8 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page