Creates a visualization of the semantic neighborhood of a word in a Gensim's Word2Vec vector space model using the Gource visualization tool
Project description
# Semantic Tree
This package provide a semanticTree command, which generates a visualization of the semantic neighborhood of a work in a Gensim Word2vec vector space.
## Installation
This package requires that [Gource](https://gource.io/) is installed locally. On ubuntu it can be apt installed.
SemanticTree itself can be installed from PyPI with pip.
` pip install -U semantic_tree `
 ## Note
This project has been set up using PyScaffold 3.2.3. For details and usage information on PyScaffold see https://pyscaffold.org/.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file semantic_tree-1.0.3.tar.gz.
File metadata
- Download URL: semantic_tree-1.0.3.tar.gz
- Upload date:
- Size: 215.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.1 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 364e1bea9a070e9e0fff1002d3221dd090fc1cfaff21f664c55597858621eb3a |
|
| MD5 | 1d83dd7a300e15cf83fc734e6c4e4c6c |
|
| BLAKE2b-256 | 415b070f723fe9a5266e636aadd7f2ccd54d1fb36644bc2aa7e7db7c5cb7c7e6 |
