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)[https://spacy.io/models/en#en_vectors_web_lg] is quite heavy (631MB)
Install embedisualization lib
pip install embedisualization
Example
To run exemplary visualisation go to examples directory and run
python sample_text_vis.py
It will take minute or two to generate embeddings and create 2D vis. The new webpage with D3 visualisation will be presented.
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size embedisualization-0.4-py3-none-any.whl (4.8 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |
| Filename, size embedisualization-0.4.tar.gz (4.3 kB) | File type Source | Python version None | Upload date | Hashes View |
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