Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Techniques for building machine learning and neural network models for NLP

Arrow left icon
Product type Paperback
Published in Jul 2018
Publisher
ISBN-13 9781788993494
Length 318 pages
Edition 2nd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Ashish Bhatia Ashish Bhatia
Author Profile Icon Ashish Bhatia
Ashish Bhatia
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to NLP FREE CHAPTER 2. Finding Parts of Text 3. Finding Sentences 4. Finding People and Things 5. Detecting Part of Speech 6. Representing Text with Features 7. Information Retrieval 8. Classifying Texts and Documents 9. Topic Modeling 10. Using Parsers to Extract Relationships 11. Combined Pipeline 12. Creating a Chatbot 13. Other Books You May Enjoy

Using Apache Tika for content analysis and extraction


Apache Tika is capable of detecting and extracting metadata and text from thousands of different type of files, such as .doc, .docx, .ppt, .pdf, .xls, and so on. It can be used for various file formats, which makes it useful for search engines, indexing, content analysis, translation, and so on. It can be downloaded from https://tika.apache.org/download.html. This section will explore how Tika can be used for text extraction for various formats. We will use Testdocument.docx and TestDocument.pdf only.

Using Tika is very straightforward, as shown in the following code:

File file = new File("TestDocument.pdf");            
Tika tika = new Tika();
String filetype = tika.detect(file);

System.out.println(filetype);
System.out.println(tika.parseToString(file));            

Simply create an instance of Tika and use the detect and parseToString methods to get the following output:

application/pdf
Jump to navigation Jump to search  

Welcome to Wikipedia...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime