I'm new to openNLP. I want to know how to build our own model to train to pick our specific data in java with openNLP. Highly appreciate all your answers.
Create our own model for training openNLP and use it in java
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There are several trainable components in OpenNLP. DocumentCategorizer NameFinder Tokenizer POSTagger Chunker Parser
The ones I have particularly used the most are the NameFinder (for named entity extraction/recognition) and the documentCategorizer, which is used for text classification like sentiment analysis.
The namefinder has a training format that this post might help understand traning OPenNLP error and this Writing our own models in openNLP
the documentCategorizer has a differnt format but is quite simple. take a look at the docs here non the OpenNLP site http://opennlp.apache.org/documentation/1.5.3/manual/opennlp.htm
HTH
just saw you comment, so updating. You want to train a namefinder for your use case. So you create a file of sentences, and each sentence you annotate the entity in the sentence as in the link I provided, then build the model. You'll want about 15000 sentences to get really good results.