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 > > > > > > >
