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Handbook of Latent Semantic Analysis

Handbook of Latent Semantic Analysis PDF Author: Thomas K. Landauer
Publisher: Psychology Press
ISBN: 1135603286
Category : Psychology
Languages : en
Pages : 545

Book Description
The Handbook of Latent Semantic Analysis is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book

Handbook of Latent Semantic Analysis

Handbook of Latent Semantic Analysis PDF Author: Thomas K. Landauer
Publisher: Psychology Press
ISBN: 1135603286
Category : Psychology
Languages : en
Pages : 545

Book Description
The Handbook of Latent Semantic Analysis is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book

Handbook of Latent Semantic Analysis

Handbook of Latent Semantic Analysis PDF Author: Thomas K. Landauer
Publisher: Psychology Press
ISBN: 1135603278
Category : Psychology
Languages : en
Pages : 570

Book Description
The Handbook of Latent Semantic Analysis is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book

Handbook of Latent Semantic Analysis

Handbook of Latent Semantic Analysis PDF Author: Thomas K. Landauer
Publisher: Routledge
ISBN: 9780805854183
Category : Language Arts & Disciplines
Languages : en
Pages : 532

Book Description
The Handbook of Latent Semantic Analysis is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book of its kind to deliver such a comprehensive analysis, this volume explores every area of the method and combines theoretical implications as well as practical matters of LSA. Readers are introduced to a powerful new way of understanding language phenomena, as well as innovative ways to perform tasks that depend on language or other complex systems. The Handbook clarifies misunderstandings and pre-formed objections to LSA, and provides examples of exciting new educational technologies made possible by LSA and similar techniques. It raises issues in philosophy, artificial intelligence, and linguistics, while describing how LSA has underwritten a range of educational technologies and information systems. Alternate approaches to language understanding are addressed and compared to LSA. This work is essential reading for anyone—newcomers to this area and experts alike—interested in how human language works or interested in computational analysis and uses of text. Educational technologists, cognitive scientists, philosophers, and information technologists in particular will consider this volume especially useful.

Introduction to Information Retrieval

Introduction to Information Retrieval PDF Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :

Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology PDF Author: Guoyin Wang
Publisher: Springer Science & Business Media
ISBN: 3540797203
Category : Computers
Languages : en
Pages : 782

Book Description
This book constitutes the refereed proceedings of the Third International Conference on Rough Sets and Knowledge Technology, RSKT 2008, held in Chengdu, China, in May 2008. The 91 revised full papers papers presented together with 3 keynote papers and 6 tutorial papers were carefully reviewed and selected from 184 submissions. They all focus on five major research fields: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. The papers are organized in topical sections on rough and soft computing, rough mereology with applications, dominance-based rough set approach, fuzzy-rough hybridization, granular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinformatics and cognitive informatics, web intelligence, pattern recognition, and real-life applications of knowledge technology.

Practical Text Analytics

Practical Text Analytics PDF Author: Murugan Anandarajan
Publisher: Springer
ISBN: 3319956639
Category : Business & Economics
Languages : en
Pages : 294

Book Description
This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information.

Text Mining and Analysis

Text Mining and Analysis PDF Author: Dr. Goutam Chakraborty
Publisher: SAS Institute
ISBN: 1612907873
Category : Computers
Languages : en
Pages : 340

Book Description
Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis. This book is part of the SAS Press program.

The Text Mining Handbook

The Text Mining Handbook PDF Author: Ronen Feldman
Publisher: Cambridge University Press
ISBN: 0521836573
Category : Computers
Languages : en
Pages : 423

Book Description
Publisher description

The Handbook of Work Analysis

The Handbook of Work Analysis PDF Author: Mark Alan Wilson
Publisher: Routledge
ISBN: 1136486844
Category : Business & Economics
Languages : en
Pages : 796

Book Description
This new handbook, with contributions from experts around the world, is the most comprehensive treatise on work design and job analysis practice and research in over 20 years. The handbook, dedicated to Sidney Gael, is the next generation of Gael’s successful Job Analysis Handbook for Business, Industry and Government, published by Wiley in 1988. It consists of four parts: Methods, Systems, Applications and Research/Innovations. Finally, a tightly integrated, user-friendly handbook, of interest to students, practitioners and researchers in the field of Industrial Organizational Psychology and Human Resource Management. Sample Chapter available: Chapter 24, Training Needs Assessment by Eric A. Surface is available for download.

Semantics - Theories

Semantics - Theories PDF Author: Claudia Maienborn
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110589249
Category : Language Arts & Disciplines
Languages : en
Pages : 449

Book Description
Now in paperback for the first time since its original publication, the material gathered here is perfect for anyone who needs a detailed and accessible introduction to the important semantic theories. Designed for a wide audience, it will be of great value to linguists, cognitive scientists, philosophers, and computer scientists working on natural language. The book covers theories of lexical semantics, cognitively oriented approaches to semantics, compositional theories of sentence semantics, and discourse semantics. This clear, elegant explanation of the key theories in semantics research is essential reading for anyone working in the area.