Finding Elements of Text with NLP in Java

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Course Features

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Duration

2.36 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

2.36 hours

Course Description

Learn Java Natural Language Processing techniques.

About This Video

  • This video tutorial will teach you how to use advanced NLP techniques to identify elements in a document and determine their relationships.
  • This tutorial will enable you to create and enhance applications that are not possible otherwise. You will also learn how to extract relationships between text elements

Natural Language Processing (NLP), which is used in many applications, provides capabilities that were not possible before. It involves analysing text to determine intent and meaning. This can then be used to support an app.

NLP is a combination Java techniques and specialized libraries that are often based on trained models. Developers must be aware of what technologies are available, how they can be used, and when to use them.

This video course will begin by covering the basics of NLP tasks such as data normalization, tokenization and SBD. It will then go on to cover more advanced NLP tasks. You will be able more than just find a word within the text. You can also identify specific elements, such as the name of a person or a place in the text.

Splitting a sentence into basic grammar units is another task that allows you to extract meaning from text. You will also learn to classify text and determine its intent at the end of this course.

Course Overview

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

A comprehensive video tutorial that will help you learn advanced NLP techniques to perform potentially useful tasks such as identifying elements of a document and their relationships

This tutorial will empower you to enhance and create applications that would not otherwise be possible You will also be able to extract relationships between text elements

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