Natural Language Processing In Java With Apache OpenNLP

Name: Natural Language Processing In Java With Apache OpenNLP
Rating: 4.1 (22 reviews)

Develop in Java an AI for chat bots, language detection and sentiment analyses for marketing

Created byMousa Al Bateh

Last updated 3/2024

English

What you'll learn

Understand how Apache OpenNLP works
AI driven chat bot
AI driven text sentiment analyzer
AI driven language detector

Course content

6 sections • 20 lectures • 2h 40m total length

Introduction12:44
This is an introductory video on what to expect from the course and to determine if this course is suitable for you or not.
Why Is The Course Expensive?6:30
If you would like to obtain a discount, feel free to reach out to me via the below link:
https://www.udemy.com/user/mousa-al-bateh/
How to Get Support6:15
In this video, I will explain to you what to do if you get stuck or need support.

IntelliJ Setup2:37
This video is about IntelliJ IDEA for creating/editing java files and projects.
Introduction to Maven and Installation2:37
In this video, we will talk about Maven and installation of Maven.
Setting up the Project6:58
In this video, I will show you how to setup a Maven project for Apache's OpenNLP.
How to Navigate Code Lesson by Lesson Using Git1:49
In this video, you will see how to navigate project using Git so you can see the code lesson by lesson instead of the full code.
To do it, you can run git checkout <commit hash> and it will update your code to reflect that lesson.

Chat Bot Example Introduction4:49
In this video, we will discuss the steps that we are going to implement to make a chat bot that utilizes Apache's OpenNLP
Forking Template Project5:32
This will be a quick guide on how to fork/reuse the project template we have created in the introduction to begin working on the chat bot application.
Coding The Chat Bot Application11:58
In this video, I will be coding the chat bot application's basic logic or skeleton.
Getting The Models Required (Part 1)1:39
In this video, I will cover the steps necessary to get the models needed for our project.
Getting The Models Required (Part 2)6:25
In this lesson, we will generate the lemmatization model.
Preparing The Categorizer File3:27
In this lesson, we will prepare the categorizer file.
Coding NLP Using Apache’s Opennlp30:39
In this part, we are going to finally implement and code the AI.

Introduction to Language Detector5:41
In this presentation, we will discuss the language detector and methodology.
Forking Project From Template3:42
We are going in this video to fork the template we made in the previous section to implement the Language Detector.
Training Data Setup3:08
In this video, we will setup the training data for the language detector.
Implementing The Language Detector23:04
In this video, I will be implementing the Language Detector in code.

Requirements

Basic java programming
Enthusiasm for learning

Description

Have you ever wanted to develop your own AI?
Have you ever visited a website and you were surprised how the chat bot understands your messages?
Have you ever wondered how Google detects the language you're typing in?
Have you ever wondered how are some services able to analyze and understand the sentiment in a text?

AI is currently one of the hottest trends and businesses now strive for hiring AI specialists to develop and train AI in many areas from basic tasks such as assembly in factories to advanced applications such as weather, marketing and other disciplines. In general, AI technology is evolving and is eventually going to be used to help build structures on other planets.

This course will cover the basics of how to use Apache's OpenNLP to implement the above and also simplify things so you will realize that developing your own AI is not as complicated as it seems.

While developing AI is popular in Python, Java is still being actually used by many businesses for developing AI as much as in Python. This course has been specially made for those who are too lazy to learn Python and would like to utilize their existing skill in Java and harness all the strengths and benefits of Java and love optimization and high performance.

Warning:

This course does not cover data science at the moment since the course is currently focused on implementation rather than theory.

Who this course is for:

Developers interested in learning natural language processing in Java

Natural Language Processing In Java With Apache OpenNLP

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 25min

Natural Language Processing Explanation and Theory1 lecture • 12min

Project Setup4 lectures • 14min

Making a Smart Chat Bot7 lectures • 1hr 4min

Language Detection Using Apache's OpenNLP4 lectures • 36min

Sentiment Analyzer1 lecture • 9min

Requirements

Description

Who this course is for: