Editore: O'Reilly Media, Incorporated, 2017
ISBN 10: 1491981652 ISBN 13: 9781491981658
Lingua: Inglese
Da: Better World Books: West, Reno, NV, U.S.A.
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Aggiungi al carrelloCondizione: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Editore: O'Reilly Media, Incorporated, 2017
ISBN 10: 1491981652 ISBN 13: 9781491981658
Lingua: Inglese
Da: Better World Books, Mishawaka, IN, U.S.A.
EUR 7,47
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Aggiungi al carrelloCondizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
EUR 30,16
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Aggiungi al carrelloPaperback. Condizione: New. Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem. You'll discover how tidy data principles can make text mining easier, more effective, and consistent by employing tools already in wide use. Text Mining with R shows you how to manipulate, summarize, and visualize the characteristics of text, sentiment analysis, tf-idf, and topic modeling. Along with tidy data methods, you'll also examine several beginning-to-end tidy text analyses on data sources from Twitter to NASA datasets. These analyses bring together multiple text mining approaches covered in the book. Get real-world examples for implementing text mining using tidy R package Understand natural language processing concepts like sentiment analysis, tf-idf, and topic modeling Learn how to analyze unstructured, text-heavy data using R language and ecosystem.
EUR 31,72
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Aggiungi al carrelloPaperback. Condizione: New. Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem. You'll discover how tidy data principles can make text mining easier, more effective, and consistent by employing tools already in wide use. Text Mining with R shows you how to manipulate, summarize, and visualize the characteristics of text, sentiment analysis, tf-idf, and topic modeling. Along with tidy data methods, you'll also examine several beginning-to-end tidy text analyses on data sources from Twitter to NASA datasets. These analyses bring together multiple text mining approaches covered in the book. Get real-world examples for implementing text mining using tidy R package Understand natural language processing concepts like sentiment analysis, tf-idf, and topic modeling Learn how to analyze unstructured, text-heavy data using R language and ecosystem.
EUR 27,19
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Text Mining with R: A Tidy Approach. Book.
EUR 33,43
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Aggiungi al carrelloPaperback. Condizione: New. Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem. You'll discover how tidy data principles can make text mining easier, more effective, and consistent by employing tools already in wide use. Text Mining with R shows you how to manipulate, summarize, and visualize the characteristics of text, sentiment analysis, tf-idf, and topic modeling. Along with tidy data methods, you'll also examine several beginning-to-end tidy text analyses on data sources from Twitter to NASA datasets. These analyses bring together multiple text mining approaches covered in the book. Get real-world examples for implementing text mining using tidy R package Understand natural language processing concepts like sentiment analysis, tf-idf, and topic modeling Learn how to analyze unstructured, text-heavy data using R language and ecosystem.
Da: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.
EUR 5,61
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Aggiungi al carrelloCondizione: acceptable. Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.
EUR 34,47
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Aggiungi al carrelloCondizione: New. 2017. 1st Edition. Paperback. Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem. Num Pages: 150 pages. BIC Classification: UYQL. Category: (XV) Technical / Manuals. Dimension: 250 x 150 x 15. Weight in Grams: 666. . . . . .
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Aggiungi al carrelloPaperback. Condizione: New. Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem. You'll discover how tidy data principles can make text mining easier, more effective, and consistent by employing tools already in wide use. Text Mining with R shows you how to manipulate, summarize, and visualize the characteristics of text, sentiment analysis, tf-idf, and topic modeling. Along with tidy data methods, you'll also examine several beginning-to-end tidy text analyses on data sources from Twitter to NASA datasets. These analyses bring together multiple text mining approaches covered in the book. Get real-world examples for implementing text mining using tidy R package Understand natural language processing concepts like sentiment analysis, tf-idf, and topic modeling Learn how to analyze unstructured, text-heavy data using R language and ecosystem.
EUR 31,52
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Aggiungi al carrelloPaperback. Condizione: New. New copy - Usually dispatched within 4 working days. 360.
EUR 22,58
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Aggiungi al carrelloCondizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Aggiungi al carrelloCondizione: New. In.
EUR 41,89
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Aggiungi al carrelloCondizione: New. 2017. 1st Edition. Paperback. Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem. Num Pages: 150 pages. BIC Classification: UYQL. Category: (XV) Technical / Manuals. Dimension: 250 x 150 x 15. Weight in Grams: 666. . . . . . Books ship from the US and Ireland.
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Aggiungi al carrelloCondizione: New. Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from t.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 150 pages. 9.00x7.00x0.50 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.
EUR 7,94
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Aggiungi al carrelloCondizione: acceptable. Reading copy. May have signs of wear and previous use scuffs, library copy, highlighting, writing, and underlining . May have foxing, slight water damage or tears. 100% GUARANTEE! Shipped with delivery confirmation. If you're not satisfied with purchase please return item for a full refund.
Editore: O'Reilly Media, Sebastopol, 2017
ISBN 10: 1491981652 ISBN 13: 9781491981658
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 39,13
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem. You'll discover how tidy data principles can make text mining easier, more effective, and consistent by employing tools already in wide use. Text Mining with R shows you how to manipulate, summarize, and visualize the characteristics of text, sentiment analysis, tf-idf, and topic modeling. Along with tidy data methods, you'll also examine several beginning-to-end tidy text analyses on data sources from Twitter to NASA datasets. These analyses bring together multiple text mining approaches covered in the book. Get real-world examples for implementing text mining using tidy R package Understand natural language processing concepts like sentiment analysis, tf-idf, and topic modeling Learn how to analyze unstructured, text-heavy data using R language and ecosystem Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
EUR 10,81
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Aggiungi al carrellopaperback. Condizione: Good. 1st Edition. Ships same day or next business day! UPS shipping available (Priority Mail for AK/HI/APO/PO Boxes). Used sticker and some writing and/or highlighting. Used books may not include working access code. Used books will not include dust jackets.