by Richard Reese | Released November 2017 | ISBN: 9781788475754

Hone your skills of using Natural Language Processing techniques with JavaAbout This VideoA 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 elementsIn DetailNatural Language Processing (NLP) is used in many applications to provide capabilities that were previously not possible. It involves analyzing text to obtain intent and meaning, which can then be used to support an application.Using NLP within an application requires a combination of standard Java techniques and often specialized libraries frequently based on models that have been trained. Developers need to know what is available, how these technologies can be used, and when they should be used.This video course will start by building on the basic NLP tasks of data normalization, tokenization, and SBD to perform more specialized NLP tasks. You will be able to do more than simply find a word in the text. Also, identify specific elements such as a person's name or a location from the text.Learn to split a sentence into basic grammatical units is another task that enables you to extract meaning and relationships from text. Towards the end of this course, you will also be able to classify text and determine the intent of the text. Show and hide more

1. Chapter 1 : Finding People and Things
   • The Course Overview 00:02:45
   • The Nature and Problems Associated with NER 00:07:20
   • Using Regular Expression for NER 00:10:47
   • Using NLP API's for NER 00:13:34
   • Training a Model for NER 00:19:52
2. Chapter 2 : Detecting Parts of Speech
   • Understanding POS 00:07:36
   • Using NLP API’s for POS Processing 00:13:15
   • Training a POS Model 00:14:10
3. Chapter 3 : Classifying Texts and Documents
   • Text Classification and Sentiment Analysis 00:07:12
   • Classifying Text Using NLP Models 00:15:33
   • Performing Sentiment Analysis 00:12:38
4. Chapter 4 : Using Parser to Extract Relationships
   • Understanding Relationship Types and Parse Trees 00:06:21
   • Extracting Relationships Using NLP API’s 00:11:46
   • Finding Word Dependencies and Coreference Resolution Entities 00:13:48
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