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)

pip install embedisualization

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 Embedisualized

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for embedisualization 0.4
File	Size	Uploaded
embedisualization-0.4.tar.gz	4.3 kB	May 9, 2018	Details

Table of built distributions (wheels) for embedisualization 0.4
File	Interpreter	ABI	Platform	Reset
embedisualization-0.4-py3-none-any.whl 4.8 kB May 9, 2018	Python 3	none	any	Details

Total release size: 9.1 kB

Download URL	embedisualization-0.4.tar.gz
Size	4.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`933a710e49364217c83f3203acf23a000745f24bf6b9dfaadf0b08e12ce1a9a5`
BLAKE2b-256 checksum How to use checksums	`a187fce787d5949a9038f96fad1ad45a78e46ec4c64f5345c6fb7aad29651d6c`
Upload date	May 9, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No

Download URL	embedisualization-0.4-py3-none-any.whl
Size	4.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`ee3529e1b038f304e38536c649d878a7d45443fb75369ed21f1f6f96fb4de0d2`
BLAKE2b-256 checksum How to use checksums	`62949ef7f039e6723b5f87a62c2f47ce1cbdb57b518c2f450f21b6bcb97822c0`
Upload date	May 9, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No