I\'ve been doing a little comparison of these two packages and am not sure which direction to go in. What I am looking for briefly is:
That depends on your purpose and need, what i know about these two is OpenNLP
is opensource and CoreNLP
is not of course.
But If you will look at the accuracy level Stanford CoreNLP
have more accurate detection than OpenNLP
. Recently I did comparison for the Part Of Speech (POS)
tagging for both and yes which is the most imp part in any NLP task, So in my analysis the winner was CoreNLP
.
Going forward for NER
there as well CoreNLP
have the more accurate results compare to OpenNLP
.
So if you are just starting you can take up OpenNLP
later if needed you can migrate to Stanford CoreNLP
.