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Natural language processing for glob...
~
Taşkıran, Nurdan Öncel, (1960-)
Natural language processing for global and local business
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Natural language processing for global and local business/ Fatih Pinarbași and M. Nurdan Oncel Taskiran, editors.
other author:
Pinarbași, Fatih,
Published:
Hershey, Pennsylvania :IGI Global, : 2020.,
Description:
1 online resource (xxi, 452 p.)
Subject:
Natural language processing (Computer science) -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4240-8
ISBN:
9781799842415 (ebk.)
Natural language processing for global and local business
Natural language processing for global and local business
[electronic resource] /Fatih Pinarbași and M. Nurdan Oncel Taskiran, editors. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xxi, 452 p.)
Includes bibliographical references and index.
Section 1. A general outlook on natural language processing. Chapter 1. Academy and company needs: the past and future of NLP ; Chapter 2. Deriving business value from online data sources using natural language processing techniques ; Chapter 3. Natural language processing in online reviews ; Chapter 4.Sentiment analysis as a restricted NLP problem ; Chapter 5. Deep learning for sentiment analysis: an overview and perspectives -- Section 2. Natural language processing in business. Chapter 6. Metaphors in business applications: modelling subjectivity through emotions for metaphor comprehension ; Chapter 7.Estimating importance from web reviews through textual description and metrics extraction ; Chapter 8. Discovery of sustainable transport modes underlying TripAdvisor reviews with sentiment analysis: transport domain adaptation of sentiment labelled data set ; Chapter 9. Research journey of hate content detection from cyberspace ; Chapter 10. The use of natural language processing for market orientation on rare diseases ; Chapter 11. Quality assurance in computer-assisted translation in business environments -- Section 3. Diversity among languages over natural language processing. Chapter 12. An extensive text mining study for the Turkish language: author recognition, sentiment analysis, and text classification ; Chapter 13. Sentiment analysis of Arabic documents: main challenges and recent advances ; Chapter 14. Building lexical resources for dialectical Arabic ; Chapter 15. A critical review of the current state of natural language processing in Mexico and Chile.
"This book explores the theoretical and practical phenomenon of natural language processing through different languages and platforms in terms of today's conditions"--
ISBN: 9781799842415 (ebk.)Subjects--Topical Terms:
641811
Natural language processing (Computer science)
LC Class. No.: QA76.9.N38 / N38 2020
Dewey Class. No.: 006.3/5
Natural language processing for global and local business
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Natural language processing for global and local business
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[electronic resource] /
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Fatih Pinarbași and M. Nurdan Oncel Taskiran, editors.
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Hershey, Pennsylvania :
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IGI Global,
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2020.
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1 online resource (xxi, 452 p.)
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Includes bibliographical references and index.
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Section 1. A general outlook on natural language processing. Chapter 1. Academy and company needs: the past and future of NLP ; Chapter 2. Deriving business value from online data sources using natural language processing techniques ; Chapter 3. Natural language processing in online reviews ; Chapter 4.Sentiment analysis as a restricted NLP problem ; Chapter 5. Deep learning for sentiment analysis: an overview and perspectives -- Section 2. Natural language processing in business. Chapter 6. Metaphors in business applications: modelling subjectivity through emotions for metaphor comprehension ; Chapter 7.Estimating importance from web reviews through textual description and metrics extraction ; Chapter 8. Discovery of sustainable transport modes underlying TripAdvisor reviews with sentiment analysis: transport domain adaptation of sentiment labelled data set ; Chapter 9. Research journey of hate content detection from cyberspace ; Chapter 10. The use of natural language processing for market orientation on rare diseases ; Chapter 11. Quality assurance in computer-assisted translation in business environments -- Section 3. Diversity among languages over natural language processing. Chapter 12. An extensive text mining study for the Turkish language: author recognition, sentiment analysis, and text classification ; Chapter 13. Sentiment analysis of Arabic documents: main challenges and recent advances ; Chapter 14. Building lexical resources for dialectical Arabic ; Chapter 15. A critical review of the current state of natural language processing in Mexico and Chile.
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"This book explores the theoretical and practical phenomenon of natural language processing through different languages and platforms in terms of today's conditions"--
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Natural language processing (Computer science)
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4240-8
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