Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Advanced Search Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Natural Language Processing with Java
  • Table Of Contents Toc
Natural Language Processing with Java

Natural Language Processing with Java

By : Richard M. Reese , Richard M Reese
4.6 (7)
Buy this Book
close
close
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)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Lock Free Chapter
1
1. Introduction to NLP
Icon
1. Introduction to NLP
Icon
What is NLP?
Icon
Why use NLP?
Icon
Why is NLP so hard?
Icon
Survey of NLP tools
Icon
Overview of text processing tasks
Icon
Understanding NLP models
Icon
Preparing data
Icon
Summary
2
2. Finding Parts of Text
Icon
2. Finding Parts of Text
Icon
Understanding the parts of text
Icon
What is tokenization?
Icon
Simple Java tokenizers
Icon
NLP tokenizer APIs
Icon
Understanding normalization
Icon
Summary
3
3. Finding Sentences
Icon
3. Finding Sentences
Icon
The SBD process
Icon
What makes SBD difficult?
Icon
Understanding SBD rules of LingPipe's HeuristicSentenceModel class
Icon
Simple Java SBDs
Icon
Using NLP APIs
Icon
Training a Sentence Detector model
Icon
Summary
4
4. Finding People and Things
Icon
4. Finding People and Things
Icon
Why NER is difficult?
Icon
Techniques for name recognition
Icon
Using regular expressions for NER
Icon
Using NLP APIs
Icon
Training a model
Icon
Summary
5
5. Detecting Part of Speech
Icon
5. Detecting Part of Speech
Icon
The tagging process
Icon
Using the NLP APIs
Icon
Summary
6
6. Classifying Texts and Documents
Icon
6. Classifying Texts and Documents
Icon
How classification is used
Icon
Understanding sentiment analysis
Icon
Text classifying techniques
Icon
Using APIs to classify text
Icon
Summary
7
7. Using Parser to Extract Relationships
Icon
7. Using Parser to Extract Relationships
Icon
Relationship types
Icon
Understanding parse trees
Icon
Using extracted relationships
Icon
Extracting relationships
Icon
Using NLP APIs
Icon
Extracting relationships for a question-answer system
Icon
Summary
8
8. Combined Approaches
chevron up
Icon
8. Combined Approaches
Icon
Preparing data
Icon
Pipelines
Icon
Creating a pipeline to search text
Icon
Summary
9
Index
Icon
Index

Preparing data

Text extraction is an early step in most NLP tasks. Here, we will quickly cover how text extraction can be performed for HTML, Word, and PDF documents. Although there are several APIs that support these tasks, we will use:

Some APIs support the use of XML for input and output. For example, the Stanford XMLUtils class provides support for reading XML files and manipulating XML data. The LingPipe's XMLParser class will parse XML text.

Organizations store their data in many forms and frequently it is not in simple text files. Presentations are stored in PowerPoint slides, specifications are created using Word documents, and companies provide marketing and other materials in PDF documents. Most organizations have an Internet presence, which means that much useful information is found in HTML documents. Due to the widespread nature of...

Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Natural Language Processing with Java
End of Section 8
Next Section
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon