NLTK vs Stanford NLP
I would add to this answer that if you are looking to parse date/time events StanfordCoreNLP contains SuTime which is the best datetime parser available. The support for arbitrary texts like 'Next Monday afternoon' is not present in any other package.
I have recently started to use NLTK toolkit for creating few solutions using Python.
I hear a lot of community activity regarding using Stanford NLP.
Can anyone tell me the difference between NLTK and Stanford NLP? Are they two different libraries? I know that NLTK has an interface to Stanford NLP but can anyone throw some light on few basic differences or even more in detail.
Can Stanford NLP be used using Python?