RapidList 1.0.2

Latest version

Released:

Rapid List 1.0.2 2017

Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK

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Project description

RAKE short for Rapid Automatic Keyword Extraction algorithm, is a domainindependent keyword extraction algorithm which tries to determine keyphrases in a body of text by analyzing the frequency of word appearanceand its co-occurance with other words in the text.

Setup

Directly from the repository

Post setup

If you see a stopwords error, it means that you do not have the corpusstopwords downloaded from NLTK. You can download it using command below.

Advanced Usage

References

This is a python implementation of the algorithm as mentioned in paperAutomatic keyword extraction from individual documents by Stuart Rose,Dave Engel, Nick Cramer and Wendy Cowley

Why I chose to implement it myself?

  • It is extremely fun to implement algorithms by reading papers. It isthe digital equivalent of DIY kits.
  • There are some rather popular implementations out there, in python(aneesha/RAKE) andnode(waseem18/node-rake) but neither seemed to use the power of NLTK. By making NLTKan integral part of the implementation I get the flexibility and power to extend it in othercreative ways, if I see fit later, without having to implement everything myself.
  • I plan to use it in my other pet projects to come and wanted it to bemodular and tunable and this way I have complete control.

Contributing

RapidList 1.0.2

Bug Reports and Feature Requests

Please use issue tracker for reporting bugs or feature requests.

Rapid List 1 0 20

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1.0.4

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1.0.1

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