A fully-configurable terminology extraction module written in Python
Project description
py-pdf-term
A fully-configurable terminology extraction module written in Python
Installation
pip install py-pdf-term
You also need to install spaCy models ja_core_news_sm
and en_core_web_sm
, which this module depends on.
pip install https://github.com/explosion/spacy-models/releases/download/ja_core_news_sm-3.6.0/ja_core_news_sm-3.6.0.tar.gz
pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.6.0/en_core_web_sm-3.6.0.tar.gz
Documentation
Project details
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
py_pdf_term-1.1.0.tar.gz
(51.0 kB
view hashes)
Built Distribution
py_pdf_term-1.1.0-py3-none-any.whl
(119.1 kB
view hashes)
Close
Hashes for py_pdf_term-1.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9462d306d4dee6192b7d07a36fc9fb4ec6a1fcabbeb8d7e112ff171566b0445a |
|
MD5 | 2e801c5dd2a5701b6489af6743271cbf |
|
BLAKE2b-256 | b9d99d61eba079b011d0550f96b1e529b230f2d5698121030eb48ad9d42e1ab7 |