Deep Natural Language Processing and AI Applications for Industry 5.0
5% Pre Publication Discount available until one month after release.

Deep Natural Language Processing and AI Applications for Industry 5.0

Poonam Tanwar (Manav Rachna International Institute of Research & Studies, India), Arti Saxena (Manav Rachna International Institute of Research & Studies, India) and C Priya (Vels Institute of Science, Technology and Advanced Studies, India)
Pages: 300|DOI: 10.4018/978-1-7998-7728-8
ISBN13: 9781799877288|ISBN10: 1799877280|EISBN13: 9781799877301|ISBN13 Softcover: 9781799877295
Hardcover:
Forthcoming
$186.20
List Price: $245.00
20% Discount:-$49.00
5% Discount:-$9.80
TOTAL SAVINGS: $58.80
E-Book:
Forthcoming
$186.20
List Price: $245.00
20% Discount:-$49.00
5% Discount:-$9.80
TOTAL SAVINGS: $58.80
Hardcover +
E-Book:
Forthcoming
$224.20
List Price: $295.00
20% Discount:-$59.00
5% Discount:-$11.80
TOTAL SAVINGS: $70.80
Softcover:
Forthcoming
$140.60
List Price: $185.00
20% Discount:-$37.00
5% Discount:-$7.40
TOTAL SAVINGS: $44.40

Description

To sustain and stay at the top of the market and give absolute comfort to consumers, industries are using different strategies and technologies. NLP is the technology that is penetrating widely in the market, irrespective of the industry and domains. It is extensively applied in businesses today and it is the buzzword in every engineer’s life. In short, NLP is everywhere. For instance, compiling and interpreting information provided by the service engineers (age of devices, parts replaced, fault description etc.) could be a complex task for quality engineers as the text can be full of abbreviations, spelling mistakes and can range from verbose to abrupt in content length. NLP can effectively refine such data and provide appropriate information for quality engineers.

NLP can be implemented in all those areas where AI is applicable either by simplifying communication processes or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years of its advancement. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low impact content including emails, regulatory texts, and more. Such machine translation tools speed up communication with partners while enriching other business interactions. Major growth factors of the NLP market include the increase in smart device usage, growth in the adoption of cloud-based solutions and NLP-based applications to improve customer service, as well as the increase in technological investments in the healthcare industry.

This book will provide the latest research findings, ideas, and applications in the fields of interest which fall under the scope of Natural Language Processing and their applications, Computational Linguistics, Deep NLP, Web Analysis. and Sentiments Analysis for business and industry perspective.This book combines numerous compelling views, guidelines and frameworks on enabling real time problems and their solutions related to Computational Linguistics, Deep NLP analysis, and any combination of these topics.

Table of Contents and List of Contributors

Search this Book:
Reset