Metadata-Version: 1.1
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
Description: # 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)
        
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
