Natural Language Processing for Global and Local Business

477 Pages·2020·14.073 MB·

by  Fatih Pinarbasi, M. Nurdan Taskiran

Natural Language
Processing for Global and
Local Business
Fatih Pinarbasi
Istanbul Medipol University, Turkey
M. Nurdan Taskiran
Istanbul Medipol University, Turkey
A volume in the Advances in Business Information
Systems and Analytics (ABISA) Book Series
Published in the United States of America by
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Library of Congress Cataloging-in-Publication Data
Names: Pinarbași, Fatih, 1991- editor. | Taşkıran, Nurdan Öncel, 1960-
editor.
Title: Natural language processing for global and local business / Fatih
Pinarbași and M. Nurdan Oncel Taskiran, editors.
Description: Hershey, PA : Business Science Reference, [2020] | Includes
bibliographical references and index. | Summary: “This book explores the
theoretical and practical phenomenon of natural language processing
through different languages and platforms in terms of today’s
conditions”-- Provided by publisher.
Identifiers: LCCN 2019059926 (print) | LCCN 2019059927 (ebook) | ISBN
9781799842408 (hardcover) | ISBN 9781799851349 (paperback) | ISBN
9781799842415 (ebook)
Subjects: LCSH: Natural language processing (Computer science) |
Computational linguistics. | Discourse analysis--Data processing. |
Emotive (Linguistics)
Classification: LCC QA76.9.N38 N388 2020 (print) | LCC QA76.9.N38 (ebook)
| DDC 006.3/5--dc23
LC record available at https://lccn.loc.gov/2019059926
LC ebook record available at https://lccn.loc.gov/2019059927

This book is published in the IGI Global book series Advances in Business Information Systems and Analytics (ABISA)
(ISSN: 2327-3275; eISSN: 2327-3283)
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All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the
authors, but not necessarily of the publisher.
For electronic access to this publication, please contact: [email protected].
Advances in Business
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ISSN:2327-3275
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Table of Contents
Foreword..............................................................................................................................................xv
Preface.................................................................................................................................................xvi
Acknowledgment................................................................................................................................xxi
Section 1
A General Outlook on Natural Language Processing
Chapter 1
AcademyandCompanyNeeds:ThePastandFutureofNLP................................................................1
Tiago Martins da Cunha, UNILAB, Brazil
Chapter 2
DerivingBusinessValueFromOnlineDataSourcesUsingNaturalLanguageProcessing
Techniques............................................................................................................................................17
Stephen Camilleri, University of Malta, Malta
Chapter 3
NaturalLanguageProcessinginOnlineReviews.................................................................................40
Gunjan Ansari, JSS Academy of Technical Education, Noida, India
Shilpi Gupta, JSS Academy of Technical Education, Noida, India
Niraj Singhal, Shobhit Institute of Engineering and Technology (Deemed), Meerut, India
Chapter 4
SentimentAnalysisasaRestrictedNLPProblem................................................................................65
Akshi Kumar, Delhi Technological University, India
Divya Gupta, Galgotias University, India
Chapter 5
DeepLearningforSentimentAnalysis:AnOverviewandPerspectives..............................................97
Vincent Karas, University of Augsburg, Germany
Björn W. Schuller, University of Augsburg, Germany


Section 2
Natural Language Processing in Business
Chapter 6
MetaphorsinBusinessApplications:ModellingSubjectivityThroughEmotionsforMetaphor
Comprehension...................................................................................................................................134
Sunny Rai, Mahindra Ecole Centrale, Hyderabad, India
Shampa Chakraverty, Netaji Subhas University of Technology, India
Devendra Kumar Tayal, Indira Gandhi Delhi Technical University for Women, India
Chapter 7
EstimatingImportanceFromWebReviewsThroughTextualDescriptionandMetrics
Extraction............................................................................................................................................154
Roney Lira de Sales Santos, University of Sao Paulo, Brazil
Carlos Augusto de Sa, Federal University of Piaui, Brazil
Rogerio Figueredo de Sousa, University of Sao Paulo, Brazil
Rafael Torres Anchiêta, University of Sao Paulo, Brazil
Ricardo de Andrade Lira Rabelo, Federal University of Piaui, Brazil
Raimundo Santos Moura, Federal University of Piaui, Brazil
Chapter 8
DiscoveryofSustainableTransportModesUnderlyingTripAdvisorReviewsWithSentiment
Analysis:TransportDomainAdaptationofSentimentLabelledDataSet.........................................180
Ainhoa Serna, University of the Basque Country, Spain
Jon Kepa Gerrikagoitia, BRTA Basque Research and Technology Alliance, Spain
Chapter 9
ResearchJourneyofHateContentDetectionFromCyberspace........................................................200
Sayani Ghosal, Ambedkar Institute of Advanced Communication Technologies and Research,
India
Amita Jain, Ambedkar Institute of Advanced Communication Technologies and Research,
India
Chapter 10
TheUseofNaturalLanguageProcessingforMarketOrientationonRareDiseases.........................226
Matthias Hölscher, Institute for IT Management and Digitization, FOM University, Germany
Rudiger Buchkremer, Institute for IT Management and Digitization, FOM University,
Germany
Chapter 11
QualityAssuranceinComputer-AssistedTranslationinBusinessEnvironments.............................247
Sanja Seljan, Faculty of Humanities and Social Sciences, University of Zagreb, Croatia
Nikolina Škof Erdelja, Ciklopea, Croatia
Vlasta Kučiš, Faculty of Arts, University of Maribor, Slovenia
Ivan Dunđer, Faculty of Humanities and Social Sciences, University of Zagreb, Croatia
Mirjana Pejić Bach, Faculty of Economics and Business, University of Zagreb, Croatia

Section 3
Diversity Among Languages Over Natural Language Processing
Chapter 12
AnExtensiveTextMiningStudyfortheTurkishLanguage:AuthorRecognition,Sentiment
Analysis,andTextClassification........................................................................................................272
Durmuş Özkan Şahin, Ondokuz Mayıs University, Turkey
Erdal Kılıç, Ondokuz Mayıs University, Turkey
Chapter 13
SentimentAnalysisofArabicDocuments:MainChallengesandRecentAdvances.........................307
Hichem Rahab, ICISI Laboratory, University of Khenchela, Algeria
Mahieddine Djoudi, TechNE Laboratory, University of Poitiers, France
Abdelhafid Zitouni, LIRE Laboratory, University of Constantine 2, Algeria
Chapter 14
BuildingLexicalResourcesforDialecticalArabic............................................................................332
Sumaya Sulaiman Al Ameri, Khalifa University of Science and Technology, UAE
Abdulhadi Shoufan, Center for Cyber-Physical Systems, Khalifa University of Science and
Technology, UAE
Chapter 15
ACriticalReviewoftheCurrentStateofNaturalLanguageProcessinginMexicoandChile.........365
César Aguilar, Pontificia Universidad Católica de Chile, Chile
Olga Acosta, Singularyta SpA, Chile
Compilation of References...............................................................................................................390
About the Contributors....................................................................................................................443
Index...................................................................................................................................................450
Detailed Table of Contents
Foreword..............................................................................................................................................xv
Preface.................................................................................................................................................xvi
Acknowledgment................................................................................................................................xxi
Section 1
A General Outlook on Natural Language Processing
Chapter 1
AcademyandCompanyNeeds:ThePastandFutureofNLP................................................................1
Tiago Martins da Cunha, UNILAB, Brazil
ThischapterpresentsaviewofhowtheuseofNLPknowledgemightchangetherelationbetween
universitiesandcompanies.ProductsfromNLPanalysisareexpectedinbothendsofthisattimesnot
soreciprocalexchange.Buthistoryhasshowntheproductsdevelopedbyuniversitiesandcompaniesare
complementaryforthedevelopmentofNLP.Thegreatvolumeofdatatheworldisproducingisrequiring
newerperspectivestoprovideunderstanding.Theseneweraspectsfoundonbigdatamayprovidethe
comprehensionofhumanlanguagecategorizationandthereforepossiblyhumanlanguageacquisition.
Buttoprocessdatamoredataneedtobeproducedandnotallcompanieshavethetimetodedicatefor
thistask.Thischapteraimstopresentthroughsharingliteraturereviewandexperienceinthefieldthat
partnershipsarethemostreliableresourceforthecycleofknowledgeproductioninNLP.Companies
needtobereceptiveofthetheoreticalknowledgetheuniversitymayprovide,anduniversitiesmustturn
theirtheoreticalknowledgeforamoreappliedenvionment.
Chapter 2
DerivingBusinessValueFromOnlineDataSourcesUsingNaturalLanguageProcessing
Techniques............................................................................................................................................17
Stephen Camilleri, University of Malta, Malta
Thewealthofinformationproducedovertheinternetempowersbusinessestobecomedata-driven
organizations,increasingtheirabilitytopredictconsumerbehavior,takemoreinformedstrategicdecisions,
andremaincompetitiveonthemarket.However,pastresearchdidnotidentifywhichonlinedatasources
companiesshouldchoosetoachievesuchanobjective.Thischapteraimstoanalysehowonlinenews
articles,socialmediamessages,anduserreviewscanbeexploitedbybusinessesusingnaturallanguage
processing(NLP)techniquestobuildbusinessintelligence.NLPtechniquesassistcomputerstounderstand



andderiveavaluablemeaningfromhuman(natural)languages.FollowingabriefintroductiontoNLP
andadescriptionofhowthesethreetextstreamsdifferfromeachother,thechapterdiscussessixmain
factorsthatcanassistbusinessesinchoosingonedatasourcefromanother.Thechapterconcludeswith
futuredirectionstowardsimprovingbusinessapplicationsinvolvingNLPtechniques.
Chapter 3
NaturalLanguageProcessinginOnlineReviews.................................................................................40
Gunjan Ansari, JSS Academy of Technical Education, Noida, India
Shilpi Gupta, JSS Academy of Technical Education, Noida, India
Niraj Singhal, Shobhit Institute of Engineering and Technology (Deemed), Meerut, India
Theanalysisoftheonlinedatapostedonvariouse-commercesitesisrequiredtoimproveconsumer
experienceandthusenhanceglobalbusiness.Theincreaseinthevolumeofsocialmediacontentin
therecentyearsledtotheproblemofoverfittinginreviewclassification.Thus,therearisesaneedto
selectrelevantfeaturestoreducecomputationalcostandimproveclassifierperformance.Thischapter
investigatesvariousstatisticalfeatureselectionmethodsthataretimeefficientbutresultinselectionof
fewredundantfeatures.Toovercomethisissue,wrappermethodssuchassequentialfeatureselection
(SFS)andrecursivefeatureelimination(RFE)areemployedforselectionofoptimalfeatureset.The
empiricalanalysiswasconductedonmoviereviewdatasetusingthreedifferentclassifiersandtheresults
depictthatSVMcouldachievef-measureof96%withonly8%selectedfeaturesusingRFEmethod.
Chapter 4
SentimentAnalysisasaRestrictedNLPProblem................................................................................65
Akshi Kumar, Delhi Technological University, India
Divya Gupta, Galgotias University, India
Withtheacceleratedevolutionofsocialnetworks,thereisatremendousincreaseinopinionsbythe
peopleaboutproductsorservices.Whilethisuser-generatedcontentinnaturallanguageisintendedto
bevaluable,itslargeamountsrequireuseofcontentminingmethodsandNLPtouncovertheknowledge
forvarioustasks.Inthisstudy,sentimentanalysisisusedtoanalyzeandunderstandtheopinionsof
usersusingstatisticalapproaches,knowledge-basedapproaches,hybridapproaches,andconcept-based
ontologies.Unfortunately,sentimentanalysisalsoexperiencesarangeofdifficultieslikecolloquialwords,
negationhandling,ambiguityinwordsense,coreferenceresolution,whichhighlightanotherperspective
emphasizingthatsentimentanalysisiscertainlyarestrictedNLPproblem.Thepurposeofthischapteris
todiscoverhowsentimentanalysisisarestrictedNLPproblem.Thus,thischapterdiscussedtheconcept
ofsentimentanalysisinthefieldofNLPandexploredthatsentimentanalysisisarestrictedNLPproblem
duetothesophisticatednatureofnaturallanguage.
Chapter 5
DeepLearningforSentimentAnalysis:AnOverviewandPerspectives..............................................97
Vincent Karas, University of Augsburg, Germany
Björn W. Schuller, University of Augsburg, Germany
Sentimentanalysisisanimportantareaofnaturallanguageprocessingthatcanhelpinformbusiness
decisionsbyextractingsentimentinformationfromdocuments.Thepurposeofthischapteristointroduce
thereadertoselectedconceptsandmethodsofdeeplearningandshowhowdeepmodelscanbeused
toincreaseperformanceinsentimentanalysis.Itdiscussesthelatestadvancesinthefieldandcovers