Text pre-processing
Project description
Overview
This documentation is all about PartNLP package. PartNLP designes to help developers to perprocessing their text automatically! Also it has many useful features that makes perprocessing more fun! However, This is not an exhaustive description but it should show you how use the package effortlessly.
Introduction
PartNLP is an integrated package uses many famous packages. Moreover, PartNLP supports multi languages. In the below table you can see all valid operations accomplishing by PartNLP and their corresponder packages.
Operations |
Keyword |
Packages |
---|---|---|
normalize |
NORMALIZE |
HAZM, PARSIVAR |
sent tokenize |
S_TOKENIZE |
HAZM, PARSIVAR, STANZA |
word tokenize |
W_TOKENIZE |
HAZM, PARSIVAR, STANZA |
lemmatize |
LEMMATIZE |
HAZM, STANZA |
stem |
STEM |
HAZM, PARSIVAR, STANZA |
Installation
for installing, you can simpley use pip to install the package.
>>> pip install -i https://test.pypi.org/simple/PartNLP
Usage
In this section we are going to see the simple usage of PartNLP package.
Examples
Simple example:
>>> from PartNLP import Pipeline
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
Built Distribution
File details
Details for the file PartNLP-0.1.1.tar.gz
.
File metadata
- Download URL: PartNLP-0.1.1.tar.gz
- Upload date:
- Size: 11.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 21a1ed60461a2e9029a7937eed1d1ad07ab8c4e939ee90633b722bf3d738e0aa |
|
MD5 | 456a488eb666c01cc4d5a1791fe2d683 |
|
BLAKE2b-256 | 9838b07ad7154c767a7cdbd1ffa1f88a97eb984e1e2c8208e068b174e9814d5c |
File details
Details for the file PartNLP-0.1.1-py3-none-any.whl
.
File metadata
- Download URL: PartNLP-0.1.1-py3-none-any.whl
- Upload date:
- Size: 53.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c79ad745a265bd2676c827c9d3558f78085c8b8daa13f03180166394ee8893f8 |
|
MD5 | 381e6f72c2b423d306abd5df243e86a0 |
|
BLAKE2b-256 | 968898cbd81d2ccf68787a37b12c606a9e7ffd457aead3e4b1e1f4e2f56c5474 |