Cantitate/Preț
Produs

Natural Language Processing and Text Mining

Editat de Anne Kao, Steve R. Poteet
en Limba Engleză Hardback – 12 dec 2006
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 71836 lei  38-45 zile
  SPRINGER LONDON – 13 oct 2010 71836 lei  38-45 zile
Hardback (1) 72591 lei  38-45 zile
  SPRINGER LONDON – 12 dec 2006 72591 lei  38-45 zile

Preț: 72591 lei

Preț vechi: 90739 lei
-20%

Puncte Express: 1089

Preț estimativ în valută:
13908 15065$ 11926£

Carte tipărită la comandă

Livrare economică 06-13 mai

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781846281754
ISBN-10: 184628175X
Pagini: 265
Ilustrații: XII, 265 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.52 kg
Ediția:2007
Editura: SPRINGER LONDON
Colecția Springer
Locul publicării:London, United Kingdom

Public țintă

Professional/practitioner

Descriere

The topic this book addresses originated from a panel discussion at the 2004 ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining) Conference held in Seattle, Washington, USA. We the editors or- nized the panel to promote discussion on how text mining and natural l- guageprocessing,tworelatedtopicsoriginatingfromverydi?erentdisciplines, can best interact with each other, and bene?t from each other’s strengths. It attracted a great deal of interest and was attended by 200 people from all over the world. We then guest-edited a special issue of ACM SIGKDD Exp- rations on the same topic, with a number of very interesting papers. At the same time, Springer believed this to be a topic of wide interest and expressed an interest in seeing a book published. After a year of work, we have put - gether 11 papers from international researchers on a range of techniques and applications. We hope this book includes papers readers do not normally ?nd in c- ference proceedings, which tend to focus more on theoretical or algorithmic breakthroughs but are often only tried on standard test data. We would like to provide readers with a wider range of applications, give some examples of the practical application of algorithms on real-world problems, as well as share a number of useful techniques.

Cuprins

Overview.- Extracting Product Features and Opinions from Reviews.- Extracting Relations from Text: From Word Sequences to Dependency Paths.- Mining Diagnostic Text Reports by Learning to Annotate Knowledge Roles.- A Case Study in Natural Language Based Web Search.- Evaluating Self-Explanations in iSTART: Word Matching, Latent Semantic Analysis, and Topic Models.- Textual Signatures: Identifying Text-Types Using Latent Semantic Analysis to Measure the Cohesion of Text Structures.- Automatic Document Separation: A Combination of Probabilistic Classification and Finite-State Sequence Modeling.- Evolving Explanatory Novel Patterns for Semantically-Based Text Mining.- Handling of Imbalanced Data in Text Classification: Category-Based Term Weights.- Automatic Evaluation of Ontologies.- Linguistic Computing with UNIX Tools.

Recenzii

From the reviews:
"The papers in this book describe a range of natural language processing (NLP) techniques and applications, all originating from an ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) panel discussion. … Overall, the contributions are well balanced with respect to the different approaches presented … . The volume appears to serve its intended purpose, which is to provide an electric overview of the international research efforts in text mining, featuring relevant tools and techniques from NLP and machine learning." (Peter Jackson, Computing Reviews, March, 2008)

Textul de pe ultima copertă

With the increasing importance of the Web and other text-heavy application areas, the demands for and interest in both text mining and natural language processing (NLP) have been rising. Researchers in text mining have hoped that NLP—the attempt to extract a fuller meaning representation from free text—can provide useful improvements to text mining applications of all kinds.
Bringing together a variety of perspectives from internationally renowned researchers, Natural Language Processing and Text Mining not only discusses applications of certain NLP techniques to certain Text Mining tasks, but also the converse, i.e., use of Text Mining to facilitate NLP. It explores a variety of real-world applications of NLP and text-mining algorithms in comprehensive detail, placing emphasis on the description of end-to-end solutions to real problems, and detailing the associated difficulties that must be resolved before the algorithm can be applied and its full benefits realized. In addition, it explores a number of cutting-edge techniques and approaches, as well as novel ways of integrating various technologies. Nevertheless, even readers with only a basic knowledge of data mining or text mining will benefit from the many illustrative examples and solutions.
Topics and features:
• Describes novel and high-impact text mining and/or natural language applications
• Points out typical traps in trying to apply NLP to text mining
• Illustrates preparation and preprocessing of text data – offering practical issues and examples
• Surveys related supporting techniques, problem types, and potential technique enhancements
• Examines the interaction of text mining and NLP
This state-of-the-art, practical volume will be an essential resource for professionals and researchers who wish to learn how to apply text mining and language processing techniques to real world problems. In addition, it can be used as a supplementary text for advanced students studying text mining and NLP.

Caracteristici

While there are a large number of books on Natural Language Processing (NLP) and several on Text Mining, there are almost none that discuss them together in any depth. This book not only discusses applications of certain NLP techniques to certain Text Mining tasks, but also the converse, i.e. use of Text Mining to help NLP
Brings together a variety of views from various internationally recognized researchers and emphasizes caveats in the attempt to apply NLP to Text Mining.