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Natural Language Processing with Java

Natural Language Processing with Java

By : Richard M. Reese
2 (3)
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Natural Language Processing with Java

Natural Language Processing with Java

2 (3)
By: Richard M. Reese

Overview of this book

Natural Language Processing (NLP) allows you to take any sentence and identify patterns, special names, company names, and more. The second edition of Natural Language Processing with Java teaches you how to perform language analysis with the help of Java libraries, while constantly gaining insights from the outcomes. You’ll start by understanding how NLP and its various concepts work. Having got to grips with the basics, you’ll explore important tools and libraries in Java for NLP, such as CoreNLP, OpenNLP, Neuroph, and Mallet. You’ll then start performing NLP on different inputs and tasks, such as tokenization, model training, parts-of-speech and parsing trees. You’ll learn about statistical machine translation, summarization, dialog systems, complex searches, supervised and unsupervised NLP, and more. By the end of this book, you’ll have learned more about NLP, neural networks, and various other trained models in Java for enhancing the performance of NLP applications.
Table of Contents (14 chapters)
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How classification is used

Classifying text is used for a number of purposes:

  • Spam detection
  • Authorship attribution
  • Sentiment analysis
  • Age and gender identification
  • Determining the subject of a document
  • Language identification

Spamming is an unfortunate reality for most email users. If an email can be classified as spam, then it can be moved to a spam folder. A text message can be analyzed and certain attributes can be used to designate the email as spam. These attributes can include misspellings, lack of an appropriate email address for the recipients, and a non-standard URL.

Classification has been used to determine the authorship of documents. This has been performed on historical documents, such as The Federalist Papers and the book Primary Colors, where the authors were identified using classification techniques.

Sentiment analysis is a technique that determines the attitude...

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