by Richard Reese | Released August 2017 | ISBN: 9781788474191

Get up and running with Natural Language Processing techniques using JavaAbout This VideoThis volume provides a strong foundation in using NLP techniques with JavaYou will be able to prepare data for processing, tokenize text, and identify basic text sentencesTowards the end of this course, you will be have all the important foundational skills you need to perform more advanced NLP tasksIn DetailNatural Language Processing (NLP) is used in many applications to provide capabilities that were previously not possible. It involves analyzing text to obtain the 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. You need to know what is available, how these technologies can be used, and when they should be used. In this course we will cover the essence of NLP using Java. This video course will commence by walking you through basic NLP tasks including data acquisition, data cleaning, finding parts of text, and determining the end of sentences. These serve as the basis for other NLP tasks such as classifying text and determining the relationship between text elements. This will be followed by the use of tokenization techniques. Tokenization is used for almost all NLP tasks. You will learn how text can be split to reveal information such as names, dates, and even the grammatical structure of a sentence. These types of activity can lead to insights into the relationships between text elements and embedded meaning in a document. Upon completion of this course, you will be ready to take on more advanced NLP tasks. Show and hide more

1. Chapter 1 : Java and NLP
   • The Course Overview 00:06:38
   • Installation and Setup 00:06:02
   • How NLP is Used 00:07:37
   • Text Processing Tasks 00:12:37
   • Understanding NLP Models 00:08:19
   • Java Support for NLP 00:05:40
2. Chapter 2 : Data Acquisition
   • Extracting Text from a Web Page 00:09:28
   • Using Bliki to Access Wikipedia 00:09:50
   • Accessing Data from Common File Formats 00:12:47
   • Accessing Text from a PDF File 00:10:41
3. Chapter 3 : Data Cleaning
   • Performing Basic Cleaning Operations 00:12:48
   • Removing Stop Words 00:09:19
   • Validating Data 00:10:17
4. Chapter 4 : Finding Parts of Text
   • Simple Java Tokenizers 00:09:00
   • Specialized Java Tokenizers 00:09:27
   • Applying Stemming and Lemmatization to Text 00:13:19
5. Chapter 5 : Finding Sentences
   • What Makes SBD Difficult 00:07:14
   • Simple Java SBDs 00:05:29
   • Using Specialized SBD APIs 00:14:28
   • Training a SBD Model 00:15:20
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