See how we can analyse movie reviews using DL4J in Java (NLP feature) just using command-line tools and a cloud platform to train and evaluate the language model (using a pre-trained model).

Here's what we need to be able to get started: The how part of this task is not hard once we have our goals and requirements clear, we will expand on this in the following sections. We have all of the code and instructions needed to get started with this post, captured for you on GitHub.

Mani Sarkar is a passionate developer mainly in the Java/JVM space, currently strengthening teams and helping them accelerate when working with small teams and startups, as a freelance software engineer/data/ml engineer. A Java Champion, software crafter, JCP Member, OpenJDK contributor, thought leader in the LJC and other developer communities and involved with @adoptopenjdk, @graalvm and other F/OSS projects. Writes code, not just on the Java/JVM platform but in other programming languages, hence likes to call himself a polyglot developer. He sees himself working in the areas of core Java, JVM, JDK, Hotspot, Graal, GraalVM, Truffle, VMs, Performance Tuning, Data and Machine Learning technologies. An advocate of a number of agile and software craftsmanship practices and a regular at many talks, conferences (Devoxx, VoxxedDays) and hands-on-workshops – speaks, participates, organises and helps out at many of them.