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(Hosting-NewsWire.com, August 10, 2018 ) Natural language processing (NLP) is an artificial intelligence computer application that can understand human language. This computerized technology allows human communication to be analyzed and interpreted by a computer based on a set of techniques and theories. The goal of natural language processing is to minimize the time it takes to understand computer languages like Ruby, C, C ++, and Java. NLP finds applications when analyzing large data because large amounts of data are being generated in current business scenarios from sources such as audio, e-mail, weblogs, documents, social networking sites and forums.
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Key types of natural language processing solutions include statistical NLP, rule-based NLP, and hybrid NLP. Natural language processing includes multiple recognition, analysis and operation techniques such as Optical Character Recognition (OCR), automatic coding, text analysis, interactive voice response (IVR), pattern and image recognition, classification and classification and speech analysis. Natural language processing can be a cloud-based or on-premise model and is used in applications such as information extraction, question answering, machine translation and report generation in a variety of industries including automotive, retail and consumer goods, and high tech. Government, finance, financial services and insurance (BFSI), health care and life sciences, research and education, media and entertainment.
Microsoft Corporation, SAS Institute Inc., Hewlett-Packard, Dolbey Systems, Google, Netbase Solutions, IBM Corporation, 3M Company, Verint Systems, and Apple Inc.
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Global Natural Language Processing Market to grow at a CAGR of +15% during forecast period 2017-2021
The report examines in detail the impact of the key drivers, restraints and the major trends that govern consumer choices of the past and the future on marketís overall development over the reportís forecast period. The research publication also examines the cost structure of the key products available in the Global Natural Language Processing Market with respect to the profit gained by manufacturers, as well as the regulations affecting it.
The study analyzes the share and size of prominent application segments. The analysis evaluates the current competitive landscape, popular business models, and the likely innovations in offerings by major players in the coming years. It takes a closer look at the prevailing regulatory landscape in various regions, including the Europe, Asia-Pacific, North America, Latin America, and the Middle East & Africa.
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The report presents an in-depth overview of the current state of the Global Natural Language Processing Market, with details concerning the functioning and design of the product, varieties available in the market, processes involved in the manufacturing of the product, and its potential impact on the growth prospects of the vast regulations levied on the import, export, and global sales of this heavily popular commodity. An overview of the popularity of recent technological advancements in the market and their potential impact on the overall development of the market is also analyzed in the report.
Table of Contents:
Global Natural Language Processing Market Research Report 2017-2021
Chapter 1 Natural Language Processing Market Overview
Chapter 2 Global Economic Impact
Chapter 3 Competition by Manufacturers
Chapter 4 Production, Revenue (Value) by Region (2017-2021)
Chapter 5 Supply (Production), Consumption, Export, Import by Regions (2017-2021)
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Natural Language Processing Market Forecast (2017-2021)
Chapter 13 Appendix
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