Skip to main content

Implementation of RAKE - Rapid Automatic Keyword Extraction

Project description


made-with-python Language grade: Python Build Status GitHub license Open Source? Yes!

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!


pip install rake

Quick Start

from rake import Rake

text = "Black grapes are famous for their use in making alcohol."

rake = Rake()

# Returns keywords with scores in reverse sorted order: [('black grapes', 4.0), ('making alcohol', 4.0), ('famous', 1.0)]

Development Setup

1. git clone
2. cd RAKE
3. pip install -r requirements.txt
4. make test-all


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.


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

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rake-keyword-0.0.1.tar.gz (4.1 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page