Tutorial | Natural Language Processing in Java using Apache OpenNLP

This is a tutorial that explain Apache OpenNLP API in very simple way with series of examples & walks through code for all aspects of it. Every article will explain in easy terms different concepts of Apache OpenNLP & give example code for each of them.

Basic steps involved in Apache Open NLP program.

  1. Sample Data for training: Create sample data in certain format. This can be real historical data like review comments or different language words etc. This should be in a way which Apache OpenNLP can understand.
  2. Train a model: Using sample data, we train a model object. Model object is a set of learning which can be used by Apache OpenNLP algorithms.
  3. Process input data: Once we have model ready, we can then process & analyze input data with Apache OpenNLP tools to get output like language detection, document categorization etc.

Dependency for examples

For examples, get latest version of maven dependency from maven repository or from Apache OpenNLP.

Lets get started

Go through below articles which explain each feature of Apache Open NLP in details & in easiest way possible.

Natural Language Processing in Java using Apache OpenNLP | Language Detection | Simple Hello example for beginners

Natural Language Processing in Java using Apache OpenNLP | String tokenizer | Simple example for beginners

Natural Language Processing in Java using Apache OpenNLP | Document Categorizer | Simple example for beginners

Natural Language Processing in Java using Apache OpenNLP | Part-Of-Speech (POS) tagger | Simple example for beginners

Sample practical example

Create your own chat bot in Java using Apache OpenNLP | Artificial Intelligence | Natural Language Processing

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