prake

Python Implementation of Rapid Automatic Keyword Extraction (RAKE)

Description

RAKE (Rapid Automatic keyword Extraction) is an algorithm for the extraction of keywords designed to be extremely efficient, to operate on single documents and heterogeneous sets of documents.

The original algorithm has been developed by Stuart Rose, Dave Engel, Nick Cramer and Wendy Cowley and published in the book "Text Mining: Applications and Theory"

Installation

Clone the repository in your favourite location:

$ git clone https://github.com/vitaled/prake

Then execute the installation script:

$ python setup.py install

Usage

prake can be used as a library:

Example:

from prake import Extractor

extractor = Extractor() #Default lang is "en"
keywords  = extractor.extract_keywords(text_sample)

The package also provides the script extract-keywords.py that can be used to extract keywords from a text file and save them to an other file

Example:

Extracting keywords from the file nyt.txt and save them into the file nyt.txt.keywords

$ extract-keywords.py -l en --i nyt.txt --o nyt.txt.keywords

References

Rose S., Engel D., Cramer N. and Cowley W. Automatic Keyword Extraction from Individual Documents (Text Mining: Applications and Theory pp 1-20)