Python SVO Extractor using NLTK

A small SVO extractor written in Python for the great library NLTK.

Installation/Dependencies

If you are on Mac you can install Stanford Parser using brew install stanford-parser as depicted here: http://nlp.stanford.edu/software/lex-parser.shtml#Download

Else use this description to install and use the Stanford Parser for NLTK here https://github.com/nltk/nltk/wiki/Installing-Third-Party-Software

python setup.py install

Either remove the first two rows in svo.py

os.environ['STANFORD_PARSER'] = ''
os.environ['STANFORD_MODELS'] = ''

AND set env variables 

export STANFORD_PARSER="<stanford-parser-path>"
export STANFORD_MODELS="<stanford-models-path>"

OR

just set 

os.environ['STANFORD_PARSER'] = ''
os.environ['STANFORD_MODELS'] = ''

to the appropriate values.

Usage

from svo.svo import SVO`

svo = SVO()

Other

Alpha version, so it might not be the best implementation. Rewritten from https://github.com/pradeep-gnr/SVO_Extractor to be able to run it without jython.