The Resource Fundamentals of predictive text mining, Sholom M. Weiss, Nitin Indurkhya, Tong Zhang

Fundamentals of predictive text mining, Sholom M. Weiss, Nitin Indurkhya, Tong Zhang

Label
Fundamentals of predictive text mining
Title
Fundamentals of predictive text mining
Statement of responsibility
Sholom M. Weiss, Nitin Indurkhya, Tong Zhang
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this unique book provides helpful advice illustrated by examples and case studies. This highly anticipated second edition has been thoroughly revised and expanded with new material on deep learning, graph models, mining social media, and errors and pitfalls in big data evaluation, Twitter sentiment analysis, and dependency parsing discussion. The fully updated content also features in-depth discussions on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Topics and features: Presents a comprehensive, practical and easy-to-read introduction to text mining Includes chapter summaries, useful historical and bibliographic remarks, and classroom-tested exercises for each chapter Explores the application and utility of each method, as well as the optimum techniques for specific scenarios Provides several descriptive case studies that take readers from problem description to systems deployment in the real world Describes methods that rely on basic statistical techniques, thus allowing for relevance to all languages (not just English) Contains links to free downloadable industrial-quality text-mining software and other supplementary instruction material Fundamentals of Predictive Text Mining is an essential resource for IT professionals and managers, as well as a key text for advanced undergraduate computer science students and beginning graduate students
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Weiss, Sholom M
Dewey number
006.3/12
Illustrations
illustrations
Index
index present
Language note
English
LC call number
QA76.9.D343
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1971-
http://library.link/vocab/relatedWorkOrContributorName
  • Indurkhya, Nitin
  • Zhang, Tong
Series statement
Texts in computer science
http://library.link/vocab/subjectName
  • Data mining
  • Predictive control
  • Data mining
  • Predictive control
  • Computer Science
  • Engineering & Applied Sciences
  • Computers
  • Computers
  • Computers
  • Computers
  • Natural language & machine translation
  • Public administration
  • Information retrieval
  • Databases
  • Computers
  • Data mining
Label
Fundamentals of predictive text mining, Sholom M. Weiss, Nitin Indurkhya, Tong Zhang
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-1-4471-6750-1
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Overview of Text Mining -- From Textual Information to Numerical Vectors -- Using Text for Prediction -- Information Retrieval and Text Mining -- Finding Structure in a Document Collection -- Looking for Information in Documents -- Data Sources for Prediction: Databases, Hybrid Data and the Web -- Case Studies -- Emerging Directions
Dimensions
unknown
Edition
Second edition.
Extent
1 online resource (xiii, 239 pages)
File format
unknown
Form of item
online
Isbn
9781447167495
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-1-4471-6750-1
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)920470703
  • (OCoLC)ocn920470703
Label
Fundamentals of predictive text mining, Sholom M. Weiss, Nitin Indurkhya, Tong Zhang
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-1-4471-6750-1
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Overview of Text Mining -- From Textual Information to Numerical Vectors -- Using Text for Prediction -- Information Retrieval and Text Mining -- Finding Structure in a Document Collection -- Looking for Information in Documents -- Data Sources for Prediction: Databases, Hybrid Data and the Web -- Case Studies -- Emerging Directions
Dimensions
unknown
Edition
Second edition.
Extent
1 online resource (xiii, 239 pages)
File format
unknown
Form of item
online
Isbn
9781447167495
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-1-4471-6750-1
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)920470703
  • (OCoLC)ocn920470703

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