Natural language processing for social media

221 Pages·2020·8.069 MB·English

by  Atefeh Farzindar, Diana Inkpen

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Series Editor: Graeme Hirst, University of Toronto E
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Natural Language Processing for Social Media, Third Edition
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Anna Atefeh Farzindar, University of Southern California
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Diana Inkpen, University of Ottawa U
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In recent years, online social networking has revolutionized interpersonal communication. The newer research on L
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language analysis in social media has been increasingly focusing on the latter’s impact on our daily lives, both on a N
personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social G
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media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant A
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information from a large volume of data coming from multiple sources and languages in various formats or in free form. E
This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. P
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Research methods in information extraction, automatic categorization and clustering, automatic summarization O
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and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the E
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current research on NLP tools and methods for processing the non-traditional information from social media data S
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that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic N
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information in various fields such as social media monitoring, health care, and business intelligence. The book further F
covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation O
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campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association S
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for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the
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Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the IA
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Evaluation Forum (CLEF). M
In this third edition of the book, the authors added information about recent progress in NLP for social media E
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applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling
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language and analyzing social media data. , 3
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Natural Language Processing
for Social Media
Third Edition

Synthesis Lectures on Human
Language Technologies
Editor
GrameHirst,UniversityofToronto
SynthesisLecturesonHumanLanguageTechnologiesiseditedbyGraemeHirstoftheUniversity
ofToronto.Theseriesconsistsof50-to150-pagemonographsontopicsrelatingtonatural
languageprocessing,computationallinguistics,informationretrieval,andspokenlanguage
understanding.Emphasisisonimportantnewtechniques,onnewapplications,andontopicsthat
combinetwoormoreHLTsubfields.
NaturalLanguageProcessingforSocialMedia,ThirdEdition
AnnaAtefehFarzindarandDianaInkpen
2020
StatisticalSignificanceTestingforNaturalLanguageProcessing
RotemDror,LotemPeled,SegevShlomov,andRoiReichart
2020
DeepLearningApproachestoTextProduction
ShashiNarayanandClaireGardent
2020
LinguisticFundamentalsforNaturalLanguageProcessingII:100Essentialsfrom
SemanticsandPragmatics
EmilyM.BenderandAlexLascarides
2019
Cross-LingualWordEmbeddings
AndersSøgaard,IvanVulić,SebastianRuder,ManaalFaruqui
2019
BayesianAnalysisinNaturalLanguageProcessing,SecondEdition
ShayCohen
2019
ArgumentationMining
ManfredStedeandJodiSchneider
2018
iv
QualityEstimationforMachineTranslation
LuciaSpecia,CarolinaScarton,andGustavoHenriquePaetzold
2018
NaturalLanguageProcessingforSocialMedia,SecondEdition
AtefehFarzindarandDianaInkpen
2017
AutomaticTextSimplification
HoracioSaggion
2017
NeuralNetworkMethodsforNaturalLanguageProcessing
YoavGoldberg
2017
Syntax-basedStatisticalMachineTranslation
PhilipWilliams,RicoSennrich,MattPost,andPhilippKoehn
2016
Domain-SensitiveTemporalTagging
JannikStrötgenandMichaelGertz
2016
LinkedLexicalKnowledgeBases:FoundationsandApplications
IrynaGurevych,JudithEckle-Kohler,andMichaelMatuschek
2016
BayesianAnalysisinNaturalLanguageProcessing
ShayCohen
2016
Metaphor:AComputationalPerspective
TonyVeale,EkaterinaShutova,andBeataBeigmanKlebanov
2016
GrammaticalInferenceforComputationalLinguistics
JeffreyHeinz,ColindelaHiguera,andMennovanZaanen
2015
AutomaticDetectionofVerbalDeception
EileenFitzpatrick,JoanBachenko,andTommasoFornaciari
2015
NaturalLanguageProcessingforSocialMedia
AtefehFarzindarandDianaInkpen
2015
v
SemanticSimilarityfromNaturalLanguageandOntologyAnalysis
SébastienHarispe,SylvieRanwez,StefanJanaqi,andJackyMontmain
2015
LearningtoRankforInformationRetrievalandNaturalLanguageProcessing,Second
Edition
HangLi
2014
Ontology-BasedInterpretationofNaturalLanguage
PhilippCimiano,ChristinaUnger,andJohnMcCrae
2014
AutomatedGrammaticalErrorDetectionforLanguageLearners,SecondEdition
ClaudiaLeacock,MartinChodorow,MichaelGamon,andJoelTetreault
2014
WebCorpusConstruction
RolandSchäferandFelixBildhauer
2013
RecognizingTextualEntailment:ModelsandApplications
IdoDagan,DanRoth,MarkSammons,andFabioMassimoZanzotto
2013
LinguisticFundamentalsforNaturalLanguageProcessing:100Essentialsfrom
MorphologyandSyntax
EmilyM.Bender
2013
Semi-SupervisedLearningandDomainAdaptationinNaturalLanguageProcessing
AndersSøgaard
2013
SemanticRelationsBetweenNominals
ViviNastase,PreslavNakov,DiarmuidÓSéaghdha,andStanSzpakowicz
2013
ComputationalModelingofNarrative
InderjeetMani
2012
NaturalLanguageProcessingforHistoricalTexts
MichaelPiotrowski
2012
vi
SentimentAnalysisandOpinionMining
BingLiu
2012
DiscourseProcessing
ManfredStede
2011
BitextAlignment
JörgTiedemann
2011
LinguisticStructurePrediction
NoahA.Smith
2011
LearningtoRankforInformationRetrievalandNaturalLanguageProcessing
HangLi
2011
ComputationalModelingofHumanLanguageAcquisition
AfraAlishahi
2010
IntroductiontoArabicNaturalLanguageProcessing
NizarY.Habash
2010
Cross-LanguageInformationRetrieval
Jian-YunNie
2010
AutomatedGrammaticalErrorDetectionforLanguageLearners
ClaudiaLeacock,MartinChodorow,MichaelGamon,andJoelTetreault
2010
Data-IntensiveTextProcessingwithMapReduce
JimmyLinandChrisDyer
2010
SemanticRoleLabeling
MarthaPalmer,DanielGildea,andNianwenXue
2010
SpokenDialogueSystems
KristiinaJokinenandMichaelMcTear
2009
vii
IntroductiontoChineseNaturalLanguageProcessing
Kam-FaiWong,WenjieLi,RuifengXu,andZheng-shengZhang
2009
IntroductiontoLinguisticAnnotationandTextAnalytics
GrahamWilcock
2009
DependencyParsing
SandraKübler,RyanMcDonald,andJoakimNivre
2009
StatisticalLanguageModelsforInformationRetrieval
ChengXiangZhai
2008
Copyright©2020byMorgan&Claypool
Allrightsreserved.Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,ortransmittedin
anyformorbyanymeans—electronic,mechanical,photocopy,recording,oranyotherexceptforbriefquotations
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NaturalLanguageProcessingforSocialMedia,ThirdEdition
AnnaAtefehFarzindarandDianaInkpen
www.morganclaypool.com
ISBN:9781681738116 paperback
ISBN:9781681738123 ebook
ISBN:9781681738147 epub
ISBN:9781681738130 hardcover
DOI10.2200/S00999ED3V01Y202003HLT046
APublicationintheMorgan&ClaypoolPublishersseries
SYNTHESISLECTURESONHUMANLANGUAGETECHNOLOGIES
Lecture#46
SeriesEditor:GrameHirst,UniversityofToronto
SeriesISSN
Print1947-4040 Electronic1947-4059
CoverartillustrationbyAnnaAtefehFarzindar.