NLTK vs Stanford NLP
NLTK can be used for the learning phase to and perform natural language process from scratch and basic level.
Standford NLP gives you high-level flexibility to done task very fast and easiest way.
If you want fast and production use, can go for Standford NLP.
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?