Metadata-Version: 2.1
Name: embedisualization
Version: 0.3
Summary: Visualization of text embeddings/vectorization with clustering
Home-page: https://github.com/laugustyniak/embedisualization
Author: Łukasz Augustyniak
Author-email: luk.augustyniak@gmail.com
License: UNKNOWN
Description-Content-Type: text/markdown
Keywords: word_embeddings clustering word_vectorization visualisation
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: matplotlib (==2.1.0)
Requires-Dist: more-itertools (==4.1.0)
Requires-Dist: mpld3 (==0.3)
Requires-Dist: pandas (==0.20.3)
Requires-Dist: scikit-learn (==0.19.1)
Requires-Dist: scipy (==1.0.1)
Requires-Dist: spacy (==2.0.10)
Provides-Extra: dev
Requires-Dist: check-manifest; extra == 'dev'
Provides-Extra: test
Requires-Dist: coverage; extra == 'test'

# Visualize embed of documents

## Install requirements and spacy model - run

You could use `conda`

`conda create --name embedisualization python=3.6`

`source activate embedisualization`

`pip install -r requirements.txt`

`python -m spacy download en_core_web_sm`

## 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.

![Sample of Trump's Tweets Embedisialized](https://raw.githubusercontent.com/laugustyniak/embedisualization/master/examples/trump.gif)


