Metadata-Version: 2.1
Name: easytoken
Version: 1.0.3
Summary: easytoken is an independent Open Source, Natural Language Processing python library which implements a easytoken to create token from Both Sentence and Paragraph.
Home-page: https://github.com/sayanmondal2098/easytoken
Author: Sayan MOndal(ph3n1x)
Author-email: sayanmondal2098@gmail.com
License: MIT
Download-URL: https://github.com/sayanmondal2098/easytoken
Description: # easytoken
        
         <p align="center">
          <img  src="./Misc/Easytoken_logo.jpg">
        </p>
        
        # easytoken
        easytoken is an independent Open Source, Natural Language Processing python library which implements a easytoken to create token from Both Sentence and Paragraph.<br>
        <br>
        
        # 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:<br>
        Install pip:
        ```
        $ python3 get-pip.py
        ```
        Install via pip:
        ```
        $ pip install easytoken
        ```
        For upgrade:
        ```
        $ pip install --upgrade easytoken
        ```
        Implementation:
        ```python
        >>> from easytoken.easytoken import Wordeasytoken
        >>>Wordeasytoken.tokenize(Wordeasytoken,text="Hello all , I'll be a good lover for you.")
        ```
          
        # Developer Info:
        Author: Sayan Mondal<br>
        Author-email: sayanmondal2098@gmail.com<br>
        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.
        
        
        
Keywords: NLP,Natural Language Processing,Tokenization,Text Summarization,Text Processing,Sentiment Analysis
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
