自动解决客户技术问题生产L3票证

Question

I want to develop a app/software which understand text from various input and make Decision according to it. Further if any point the system got confused then user can manual supply the output for it and from next time onwards system must learn to give such output in these scenarios. Basically system must learn from its past experience. The job that i want handle with this system is mundane job of resolving customer technical problems.( Production L3 tickets). The input in this case would be customer problem like with the order( like the state in which order is stuck and the state in which he wants it to be pushed) and second input be the current state order( data retrieved for that order from multiple tables of db) . For these two inputs the output would be the desired action to be taken like to update certain columns and fire XML for that order. The tools which I think would required is a Natural Language processor( NLP) library for understanding text and machine learning so as learn from past confusing scenarios.

Answer 1

If you want to use Java libraries for your NLP Pipeline, have a look at Opennlp .

you've a lot of basic support here .

And then you've deeplearning4j where you've a lot of Neural Network implementations in java. As you want a Dynamic model which can learn from past experiences rather than a static one, you've a number of neural netwrok implementations which you can play with in deeplearning4j.

Hope this helps!