Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/477
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dc.contributor.authorBeysolow II, Taweh. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:17:22Z-
dc.date.available2020-05-17T08:17:22Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484237335 ;en_US
dc.identifier.isbn9781484237328 (print) ;en_US
dc.identifier.isbn9781484237342 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/477-
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionPrinted edition: ; 9781484237328. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484237342. ;en_US
dc.description.abstractLearn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. You will: Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms . ;en_US
dc.description.statementofresponsibilityby Taweh Beysolow II.en_US
dc.description.tableofcontentsChapter 1: What is Natural Language Processinge -- Chapter 2: Review of Machine Learning -- Chapter 3: Working with Raw Text -- Chapter 4: Word Embeddings and their application -- Chapter 5: Using Machine Learning with Natural Language Processing. ;en_US
dc.format.extentXV, 150 p. 32 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484237328.pdfen_US
dc.subjectElectronic data processing. ;en_US
dc.subjectPython (Computer program language). ;en_US
dc.subjectOpen source software. ;en_US
dc.subjectComputer Programmingen_US
dc.subjectBig data. ;en_US
dc.subjectComputing Methodologies. ; http://scigraph.springernature.com/things/product-market-codes/I21009. ;en_US
dc.subjectPython. ; http://scigraph.springernature.com/things/product-market-codes/I29080. ;en_US
dc.subjectOpen Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ;en_US
dc.subjectBig Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ;en_US
dc.subject.ddc006 ; 23 ;en_US
dc.titleApplied Natural Language Processing with Pythonen_US
dc.title.alternativeImplementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorBeysolow II, Taweh. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:17:22Z-
dc.date.available2020-05-17T08:17:22Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484237335 ;en_US
dc.identifier.isbn9781484237328 (print) ;en_US
dc.identifier.isbn9781484237342 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/477-
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionPrinted edition: ; 9781484237328. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484237342. ;en_US
dc.description.abstractLearn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. You will: Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms . ;en_US
dc.description.statementofresponsibilityby Taweh Beysolow II.en_US
dc.description.tableofcontentsChapter 1: What is Natural Language Processinge -- Chapter 2: Review of Machine Learning -- Chapter 3: Working with Raw Text -- Chapter 4: Word Embeddings and their application -- Chapter 5: Using Machine Learning with Natural Language Processing. ;en_US
dc.format.extentXV, 150 p. 32 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484237328.pdfen_US
dc.subjectElectronic data processing. ;en_US
dc.subjectPython (Computer program language). ;en_US
dc.subjectOpen source software. ;en_US
dc.subjectComputer Programmingen_US
dc.subjectBig data. ;en_US
dc.subjectComputing Methodologies. ; http://scigraph.springernature.com/things/product-market-codes/I21009. ;en_US
dc.subjectPython. ; http://scigraph.springernature.com/things/product-market-codes/I29080. ;en_US
dc.subjectOpen Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ;en_US
dc.subjectBig Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ;en_US
dc.subject.ddc006 ; 23 ;en_US
dc.titleApplied Natural Language Processing with Pythonen_US
dc.title.alternativeImplementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484237328.pdf2.98 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBeysolow II, Taweh. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:17:22Z-
dc.date.available2020-05-17T08:17:22Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484237335 ;en_US
dc.identifier.isbn9781484237328 (print) ;en_US
dc.identifier.isbn9781484237342 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/477-
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionQA75.5-76.95 ;en_US
dc.descriptionPrinted edition: ; 9781484237328. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484237342. ;en_US
dc.description.abstractLearn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. You will: Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms . ;en_US
dc.description.statementofresponsibilityby Taweh Beysolow II.en_US
dc.description.tableofcontentsChapter 1: What is Natural Language Processinge -- Chapter 2: Review of Machine Learning -- Chapter 3: Working with Raw Text -- Chapter 4: Word Embeddings and their application -- Chapter 5: Using Machine Learning with Natural Language Processing. ;en_US
dc.format.extentXV, 150 p. 32 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484237328.pdfen_US
dc.subjectElectronic data processing. ;en_US
dc.subjectPython (Computer program language). ;en_US
dc.subjectOpen source software. ;en_US
dc.subjectComputer Programmingen_US
dc.subjectBig data. ;en_US
dc.subjectComputing Methodologies. ; http://scigraph.springernature.com/things/product-market-codes/I21009. ;en_US
dc.subjectPython. ; http://scigraph.springernature.com/things/product-market-codes/I29080. ;en_US
dc.subjectOpen Source. ; http://scigraph.springernature.com/things/product-market-codes/I29090. ;en_US
dc.subjectBig Data. ; http://scigraph.springernature.com/things/product-market-codes/I29120. ;en_US
dc.subject.ddc006 ; 23 ;en_US
dc.titleApplied Natural Language Processing with Pythonen_US
dc.title.alternativeImplementing Machine Learning and Deep Learning Algorithms for Natural Language Processing /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484237328.pdf2.98 MBAdobe PDFThumbnail
Preview File