MaltParser with pretrained model: >> import nltk >> parser = nltk.parse.malt.MaltParser(working_dir=".", mco="engmalt.poly.mco") >> parser.raw_parse("I love music").tree().pprint()
Optimised nltk for sentiment analysis
MaltParser with pretrained model: >> import nltk >> parser = nltk.parse.malt.MaltParser(working_dir=".", mco="engmalt.poly.mco") >> parser.raw_parse("I love music").tree().pprint()
Optimised nltk for sentiment analysis