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Tokenizer is an independent Open Source, Natural Language Processing python library which implements a tokenizer to create token from Both Sentence and Paragraph.

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easytoken

easytoken

easytoken is an independent Open Source, Natural Language Processing python library which implements a easytoken to create token from Both Sentence and Paragraph.

Next in Line:

This is still in alpha stage so we are planning to add few more feature as tagging and cleaning which will be added by 2020. We are also developing a other Language Processing algorithm for our library.

Naming:

The name is just it's purpose _(^^)/

Installation and Implementation:

To install easytoken follow the steps:
Install pip:

$ python3 get-pip.py

Install via pip:

$ pip install easytoken

For upgrade:

$ pip install --upgrade easytoken

After Download the module ,:

$ python
>>> import nltk
>>> nltk.download("all")

Implementation:

>>> from easytoken.easytoken import Wordeasytoken
>>>Wordeasytoken.tokenize(Wordeasytoken,text="Hello all , I'll be a good lover for you.")

Developer Info:

Author: Sayan Mondal
Author-email: sayanmondal2098@gmail.com
Team: Bread and Code

Required Libraries:

      'nltk',
      're',
      'itertools',
      'os',
      'sys',
      'string'

LISCENSE:

MIT License

Copyright (c) 2020 Sayan Mondal | Bread-and-Code

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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Tokenizer is an independent Open Source, Natural Language Processing python library which implements a tokenizer to create token from Both Sentence and Paragraph.

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