Metadata-Version: 2.1
Name: rake-keyword
Version: 0.0.1
Summary: Implementation of RAKE - Rapid Automatic Keyword Extraction
Home-page: https://github.com/u-prashant/RAKE
Author: Prashant Upadhyay
Author-email: prashant.u@hotmail.com
License: UNKNOWN
Description: # RAKE-Keyword
        
        [![made-with-python](https://img.shields.io/badge/language-python-blue)](https://www.python.org/)
        [![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/u-prashant/RAKE.svg?logo=lgtm&logoWidth=18&color=blue)](https://lgtm.com/projects/g/u-prashant/RAKE/context:python)
        [![Build Status](https://img.shields.io/travis/u-prashant/RAKE?color=blue)](https://travis-ci.com/u-prashant/RAKE)
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        [![Open Source? Yes!](https://badgen.net/badge/Open%20Source%20%3F/Yes%21/blue?icon=github)](https://github.com/Naereen/badges/)
        
        
        RAKE-Keyword is a Python library that can extract keywords from any document or a piece of text. It is based on RAKE algorithm. Rapid Automatic Keyword Extraction (RAKE) is a keyword extraction method that is extremely efficient and operates on individual documents. It tries to determine the key phrases in a text by calculating the co-occurrences of every word in a key phrase and also its frequency in the entire text. [Link to Research Paper!](https://doi.org/10.1002/9780470689646.ch1)
        
        ## Installation
        ```
        pip install rake
        ```
        
        ## Quick Start
        ```python
        from rake import Rake
        
        text = "Black grapes are famous for their use in making alcohol."
        
        rake = Rake()
        
        raje.exec(text)
        # Returns keywords with scores in reverse sorted order: [('black grapes', 4.0), ('making alcohol', 4.0), ('famous', 1.0)]
        ```
        
        ## Development Setup
        ```
        1. git clone https://github.com/u-prashant/RAKE.git
        2. cd RAKE
        3. pip install -r requirements.txt
        4. make test-all
        ```
        
        
        ## Contributing
        Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
        
        Please make sure to update tests as appropriate.
        
        ## License
        
        MIT License
        
        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.
        
        Copyright (c) 2020 Prashant Upadhyay
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
