EUR 64,30
  • Tous les prix incluent la TVA.
Il ne reste plus que 1 exemplaire(s) en stock.
Expédié et vendu par Amazon. Emballage cadeau disponible.
Practical Text Mining and... a été ajouté à votre Panier
Vous l'avez déjà ?
Repliez vers l'arrière Repliez vers l'avant
Ecoutez Lecture en cours... Interrompu   Vous écoutez un extrait de l'édition audio Audible
En savoir plus
Voir les 3 images

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications (Anglais) Relié – 18 février 2012

3,5 étoiles sur 5
5 étoiles
7
4 étoiles
1
3 étoiles
2
2 étoiles
3
1 étoile
2
3,5 étoiles sur 5 15 Commentaires sur Amazon.com |

Voir les 2 formats et éditions Masquer les autres formats et éditions
Prix Amazon
Neuf à partir de Occasion à partir de
Format Kindle
"Veuillez réessayer"
Relié
"Veuillez réessayer"
EUR 64,30
EUR 64,30 EUR 61,28
Note: Cet article est éligible à la livraison en points de collecte. Détails
Récupérer votre colis où vous voulez quand vous voulez.
  • Choisissez parmi 17 000 points de collecte en France
  • Les membres du programme Amazon Premium bénéficient de livraison gratuites illimitées
Comment commander vers un point de collecte ?
  1. Trouvez votre point de collecte et ajoutez-le à votre carnet d’adresses
  2. Sélectionnez cette adresse lors de votre commande
Plus d’informations
click to open popover

Offres spéciales et liens associés


Descriptions du produit

Revue de presse

"They’ve done it again. From the same industry leaders who brought you the "bible" of data mining comes the definitive, go-to text mining resource. This book empowers you to dig in and seize value, with over two dozen hands-on tutorials that drive an incredible range of applications such as predicting marketing success and detecting customer sentiment, criminal lies, writing authorship, and patient schizophrenia. These step-by-step tutorials immediately place you in the practitioner’s driver’s seat, executing on text analytics. Beyond this, 17 more chapters cover the latest methods and the leading tools, making this the most comprehensive resource, and earning it a well-deserved place on your desk aside the authors’ data mining handbook." --Eric Siegel, Ph.D., Founder, Predictive Analytics World, Text Analytics World and Prediction Impact, Inc.

"Of the number of statistics books that are published each year, only a few stand out as really being important, meaning that they positively influence how future research is done in the subject area of the text. I believe that Practical Text Mining is just such a book." --Joseph M. Hilbe, JD, PhD, Arizona State University and Jet Propulsion Laboratory

"When you want real help extracting insight from the mountains of text that you’re facing, this is the book to turn to for immediate practical advice." --Karl Rexer, PhD, President, Rexer Analytics, Boston, MA

"The underlying premise is that almost all data in databases takes the form of unstructured text, or summaries of unstructured text, and that historians, marketers, crime investigators, and others need to know how to search that text for meaningful patterns - a very different process than reading. Contributors in a range of fields share their insights and experience with the process. After setting out the principles, they present tutorials and case studies, then move on to advanced topics." --Reference and Research Book News, Inc.

"The authors of Practical Text Mining and Statistical Analysis for Nonstructured Text Data Applications have managed to produce three books in one. First, in 17 chapters they give a friendly yet comprehensive introduction to the huge field of text mining, a field comprising techniques from several different disciplines and a variety of different tasks. Miner and his colleagues have produced a readable overview of the area that is sure to help the practitioner navigate this large and unruly ocean of techniques. Second, the authors provide a comprehensive list and review of both the commercial and free software available to perform most text data mining tasks. Finally, and most importantly, the authors have also provided an amazing collection of tutorials and case studies. The tutorials illustrate various text mining scenarios and paths actually taken by researchers, while the case studies go into even more depth, showing both the methodology used and the business decisions taken based on the analysis. These practical step-by-step guides are impressive not only in the breadth of their applications but in the depth and detail that each case study delivers. The studies are authored by several guest authors in addition to the book authors and are built on real problems with real solutions. These case studies and tutorials alone make the book worth having. I have never seen such a collection of real business problems published in any field, much less in such a new field as text mining. These, together with the explanations in the chapters, should provide the practitioner wishing to get a broad view of the text mining field an invaluable resource for both learning and practice." --Richard De Veaux Professor of Statistics; Dept. of Mathematics and Statistics; Williams College

"In writing Practical Text Mining and Statistical Analysis for Nonstructured Text Data Applications, the six authors (Miner, Delen, Elder, Fast, Hill, and Nisbet) accepted the daunting task of creating a cohesive operational framework from the disparate aspects and activities of text mining, an emerging field that they appropriately describe as the "Wild West" of data mining. Tapping into their unique expertise and applying a wide cross-application lens, they have succeeded in their mission. Rather than listing the facets of text mining simply as independent academic topics of discussion, the book leans much more to the practical, presenting a conceptual road map to assist users in correlating articulated text mining techniques to categories of actual commonly observed business needs. To finish out the job, summaries for some of the most prevalent commercial text mining solutions are included, along with examples. In this way, the authors have uniquely presented a text mining resource with value to readers across that breadth of business applications." --Gerard Britton, J.D. V.P., GRC Analytics, Opera Solutions LLC

"Text Mining is one of those phrases people throw around as though it describes something singular. As the authors of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications show us, nothing could be further from the truth. There is a rich, diverse ecosystem of text mining approaches and technologies available. Readers of this book will discover a myriad of ways to use these text mining approaches to understand and improve their business. Because the authors are a practical bunch the book is full of examples and tutorials that use every approach, multiple commercial and open source tools, and that show the power and trade-offs each involves. The case studies are worked through in detail by the authors so you can see exactly how things would be done and learn how to apply it to your own problems. If you are interested in text mining, and you should be, this book will give you a perspective that is broad, deep and approachable." --James Taylor CEO Decision Management Solutions

Présentation de l'éditeur

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.

Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities.

The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically.



  • Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible
  • Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com
  • Glossary of text mining terms provided in the appendix

Aucun appareil Kindle n'est requis. Téléchargez l'une des applis Kindle gratuites et commencez à lire les livres Kindle sur votre smartphone, tablette ou ordinateur.

  • Apple
  • Android
  • Windows Phone
  • Android

Pour obtenir l'appli gratuite, saisissez votre numéro de téléphone mobile.



Détails sur le produit

Commentaires en ligne

Il n'y a pas encore de commentaires clients sur Amazon.fr
5 étoiles
4 étoiles
3 étoiles
2 étoiles
1 étoile

Commentaires client les plus utiles sur Amazon.com (beta)

Amazon.com: 3.5 étoiles sur 5 15 commentaires
2.0 étoiles sur 5 Two Stars 15 juillet 2016
Par Kattamuri S. Sarma - Publié sur Amazon.com
Format: Relié Achat vérifié
OK
5 internautes sur 6 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 No depth analysis for each example 9 janvier 2013
Par hxy0135 NJ - Publié sur Amazon.com
Format: Relié Achat vérifié
It has a lot practical examples on how text mining is used in different industry. I like those examples. But the format and the structure of the book makes it like a user operation manual for those mining tools used in the book. I have expected depth analysis for each example.
1 internautes sur 2 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 This is the best book on text mining I have seen to date 17 mars 2015
Par J. Stanham - Publié sur Amazon.com
Format: Relié Achat vérifié
This is the best book on text mining I have seen to date. The frameworks describing the applications and the way they explain the different concepts are simple and clear. The case studies using the different software applications really bring everything to life. It is my reference book in the matter. A great effort by the authors.
1 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 The best book on text mining 2 novembre 2013
Par Meta S. Brown - Publié sur Amazon.com
Format: Relié Achat vérifié
Text analytics is a significant part of my work as a data analyst and analytics writer. This is the only book on text mining that I recommend to people who want to build a good working knowledge of text analytics for business and government applications.

This is not the book for programmers and linguists who want to learn how to build their own text analytics tools. And it's not for hackers who operate on a shoestring budget and lots of unpaid (or underpaid) labor. This book is for people who have other things to do, too, for people who pay for labor, rent and so forth, for people who want to understand how text analytics fits in with the data analysis methods that they already use for business.

The book covers text analytics concepts and philosophy, and includes many worked examples. The book gives the reader a good sense of what kinds of applications make sense for text analytics, what results can be expected,and how to analyze text.

The authors are competent analysts who work with real, live, paying clients. I've heard several of them speak, and found them to be some of the clearest and most informative speakers in the field. If I could have them all on call for expert advice, I would! Since that's not an option, I keep this book handy.
1 internautes sur 2 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Solid text, well-written. Very practical - the authors ... 22 février 2015
Par Amazon Customer - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
Solid text, well-written. Very practical - the authors walk the reader through examples for the case studies.
Ces commentaires ont-ils été utiles ? Dites-le-nous


Commentaires

Souhaitez-vous compléter ou améliorer les informations sur ce produit ? Ou faire modifier les images?