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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

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Filename, size & hash SHA256 hash help File type Python version Upload date
embedisualization-0.4-py3-none-any.whl (4.8 kB) Copy SHA256 hash SHA256 Wheel py3
embedisualization-0.4.tar.gz (4.3 kB) Copy SHA256 hash SHA256 Source None

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