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  • Book Overview & Buying Natural Language Processing with Java
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Natural Language Processing with Java

Natural Language Processing with Java

By : Richard M. Reese , Richard M Reese
4.6 (7)
Buy this Book
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Natural Language Processing with Java

Natural Language Processing with Java

4.6 (7)
By: Richard M. Reese , Richard M Reese
Buy this Book

Overview of this book

If you are a Java programmer who wants to learn about the fundamental tasks underlying natural language processing, this book is for you. You will be able to identify and use NLP tasks for many common problems, and integrate them in your applications to solve more difficult problems. Readers should be familiar/experienced with Java software development.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Introduction to NLP
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1. Introduction to NLP
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What is NLP?
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Why use NLP?
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Why is NLP so hard?
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Survey of NLP tools
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Overview of text processing tasks
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Understanding NLP models
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Preparing data
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Summary
2
2. Finding Parts of Text
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2. Finding Parts of Text
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Understanding the parts of text
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What is tokenization?
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Simple Java tokenizers
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NLP tokenizer APIs
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Understanding normalization
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Summary
3
3. Finding Sentences
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3. Finding Sentences
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The SBD process
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What makes SBD difficult?
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Understanding SBD rules of LingPipe's HeuristicSentenceModel class
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Simple Java SBDs
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Using NLP APIs
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Training a Sentence Detector model
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Summary
4
4. Finding People and Things
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4. Finding People and Things
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Why NER is difficult?
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Techniques for name recognition
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Using regular expressions for NER
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Using NLP APIs
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Training a model
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Summary
5
5. Detecting Part of Speech
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5. Detecting Part of Speech
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The tagging process
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Using the NLP APIs
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Summary
6
6. Classifying Texts and Documents
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6. Classifying Texts and Documents
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How classification is used
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Understanding sentiment analysis
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Text classifying techniques
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Using APIs to classify text
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Summary
7
7. Using Parser to Extract Relationships
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7. Using Parser to Extract Relationships
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Relationship types
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Understanding parse trees
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Using extracted relationships
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Extracting relationships
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Using NLP APIs
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Extracting relationships for a question-answer system
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Summary
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8. Combined Approaches
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8. Combined Approaches
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Preparing data
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Pipelines
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Creating a pipeline to search text
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Summary
9
Index
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Index

Relationship types

There are many possible relationship types. A few categories and examples of relationships are found in the following table. An interesting site that contains a multitude of relationships is Freebase (https://www.freebase.com/). It is a database of people, places, and things organized by categories. The WordNet thesaurus (http://wordnet.princeton.edu/) contains a number of relationships.

Relationship

Example

Personal

father-of, sister-of, girlfriend-of

Organizational

subsidiary-of, subcommittee–of

Spatial

near-to, northeast-of, under

Physical

part-of, composed-of

Interactions

bonds-with, associates-with, reacts-with

Name Entity Recognition is a low level type of NLP classification that was covered in Chapter 4, Finding People and Things. However, many applications need to go beyond this and identify different types of relationships. For example, when NER is applied to identify individuals, then knowing that we are dealing with a person can further refine the...

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Tech Concepts
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Programming languages
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Natural Language Processing with Java
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