Getting Started with Natural Language Processing in Java
Get up and running with Natural Language Processing techniques using Java About This Video This volume provides a strong foundation in using NLP techniques with Java You will be able to prepare data for processing, tokenize text, and identify basic text sentences Towards the end of this course, you...
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| Format: | Online |
| Sprache: | eng |
| Veröffentlicht: |
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Packt Publishing
2017
Sebastopol, CA O'Reilly Media Inc. |
| Ausgabe: | 1st edition |
| Schlagworte: | |
| Online Zugang: | https://learning.oreilly.com/library/view/-/9781788474191 https://learning.oreilly.com/library/view/-/9781788474191/?ar |
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Tag hinzufügen | Zusammenfassung: | Get up and running with Natural Language Processing techniques using Java About This Video This volume provides a strong foundation in using NLP techniques with Java You will be able to prepare data for processing, tokenize text, and identify basic text sentences Towards the end of this course, you will be have all the important foundational skills you need to perform more advanced NLP tasks In Detail Natural 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. |
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| Beschreibung: | 1 Online-Ressource (1 video file, approximately 3 hr., 16 min.) |
| ISBN: | 9781788474191 |