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...is a collective term for characteristics that the two institutions share.
█ Getting Started with Natural Language Processing in Java
█
▄
█ by Richard Reese
█ Publisher: Packt Publishing
▓ Release Date: August 2017
▓ ISBN: 9781788474191
▒ Running time: 3:16:20
▒ Topic: Java
░ Scale: 21x50mb
░ Downloads: (■) Included ( ) Without
░
░ Lecture Date: 09/2017
░ Lecture Link: https://goo.gl/v1AUHc
░
:
| 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.
,