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Nlp and Text Mining Applications in R
Paperback

Nlp and Text Mining Applications in R

$66.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Natural language processing (NLP) is a specialized field within artificial intelligence (AI) that is concerned with the interaction between computers and human languages. Renowned for its prowess in statistical computing and data analysis, the R programming language provides a robust library and toolset for NLP and text-mining applications. This book examines the theoretical foundations of NLP and text mining, providing illustrative examples to elucidate their real-world applications.

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MORE INFO
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
23 June 2024
Pages
56
ISBN
9786207653355

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Natural language processing (NLP) is a specialized field within artificial intelligence (AI) that is concerned with the interaction between computers and human languages. Renowned for its prowess in statistical computing and data analysis, the R programming language provides a robust library and toolset for NLP and text-mining applications. This book examines the theoretical foundations of NLP and text mining, providing illustrative examples to elucidate their real-world applications.

Read More
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
23 June 2024
Pages
56
ISBN
9786207653355