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Exploring NLP concepts using Apache OpenNLP inside a Java-enabled Jupyter notebook

Introduction

I have been exploring and playing around with the Apache OpenNLP library after a bit of convincing. For those who are not aware of it, it’s an Apache project, supporters of F/OSS Java projects for the last two decades or so. I found their command line interface pretty simple to use, and it is a great learning tool for beginning to work with Natural Language Processing (NLP).

To preface this article, make sure that you're familiar with Jupyter Notebooks. If you are not, have a look at this video these articles: [1] or [2]. For using the CLI, I’ll refer you to this post.

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JVM Advent Calendar: Apache Zeppelin: Stairway to *Notes* Heaven!

Introduction

Continuing from the previous post, Two Years in the Life of AI, ML, DL, and Java, where I expressed my motivation, I mentioned our discussions, one of the discussions was that you can write in languages like Python, R, and Julia in JuPyteR notebooks. Most were not aware that you can also write Java and Scala in addition to Python, SQL, etc. with the help of Apache Zeppelin notebooks. And so, I wanted to share something to broaden everyone’s awareness of Apache Zeppelin and its features. The project itself is written in Java and is an open architecture, which means that Zeppelin can support anything as long as an interpreter for that thing has been provided.

First Things First

In case I have lost some of you, here’s what I meant by JuPyteR notebooks and writing notebooks in different languages. Also, have a look at the list of kernels supported by JuPyteR notebook. In this post, however, we are covering Apache Zeppelin, how to get it to work, and how to use a couple of notes in the Zeppelin environment.