I am working on a Phrase Input and Response System (Similar to SIRI) want to train a Model on how to detect a phrase category, i.e. command, misc., special, using a Phrase[] Java object from Apache OpenNLP. How do I do that? my only experience with deeplearning4j with using .csv files to train models. How do I use a set of java objects to train models? in DL4J?
The examples i am looking at
The only experience with ML is apache Open NLP. And as for the examples, most of them are Outdated (the outdated ones are some of the first websites like baeldung.com or medium.com to pop up via google search)!
The other ones use Java dependencies that don't exist in my maven repositories (https://github.com/eclipse/deeplearning4j-examples) another reason, these don’t work, is that, the examples are for eclipse and i use Netbeans IDE, so i can’t just import the code and have it run, without some sort of problem.
I am using DeepLearning4J 1.0.0 Beta 7 and am using NetBeans IDE 12.0. The programming language i use for DL4J and Apache Open NLP is Java
Apache OpenNLP experience
I am familiar and use everything (all the way up to Parsing (#10 in the table of contents)) shown in the apache OpenNLP manual: (https://opennlp.apache.org/docs/1.9.3/manual/opennlp.html)
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