The answer about the differences would be quite long. You can learn about
the theory researching online. Try some papers from here:
https://cwiki.apache.org/confluence/display/OPENNLP/NLP+Papers
Which algorithm is better for you depends on your task and your data. You
can start developing using the standard Maxent and when your environment is
ready you can try other ML implementations.
Regards,
William
2015-05-29 7:07 GMT-03:00 nikhil jain nikhil_jain1...@yahoo.com.invalid:
Hello,
Did anyone get a chance to look at the email. I know I am asking a very
basic question but being a new in this subject, its very difficult to
understand the terms.
I tried to understand by reading wiki pages but not fully understand that
why I raised a question.
Thanks
Nikhil
Sent from Yahoo Mail on Android
From:nikhil jain nikhil_jain1...@yahoo.com
Date:Tue, May 19, 2015 at 11:51 PM
Subject:OpenNLP: Named Entity Recognition ( Token Name Finder )
Hello Everyone,
I was reading a openNLP documentation, and found that OpenNLP supports
Maxent, Perceptron and Perceptron sequence type models.
Could someone please explain me the difference in between them?
I am trying to understand which one would be good for tagging sequence of
data.
BTW, I am new in NLP and Machine learning. so please help me to understand
this.
Thanks
Nikhil Jain
