rake-nltk 1.0.1

Setup

pip install rake-nltk

git clone https://github.com/csurfer/rake-nltk.git
python rake-nltk/setup.py install

Post setup

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

python -c "import nltk; nltk.download('stopwords')"

Usage

from rake_nltk import Rake

r = Rake() # Uses stopwords for english from NLTK, and all puntuation characters.

r = Rake(<language>) # To use it in a specific language supported by nltk.

# If you want to provide your own set of stop words and punctuations to
# r = Rake(<list of stopwords>, <string of puntuations to ignore>)

r.extract_keywords_from_text(<text to process>)

r.get_ranked_phrases() # To get keyword phrases ranked highest to lowest.

References

This is a python implementation of the algorithm as mentioned in paper Automatic 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 is the digital equivalent of DIY kits.

• There are some rather popular implementations out there, in python(aneesha/RAKE) and node(waseem18/node-rake) but neither seemed to use the power of NLTK. By making NLTK an integral part of the implementation I get the flexibility and power to extend it in other creative 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 be modular and tunable and this way I have complete control.

Contributing