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Author: ChengXiang Zhai
Publisher: Morgan & Claypool
ISBN: 1970001178
Category : Computers
Languages : en
Pages : 531
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Book Description
Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.
Author: ChengXiang Zhai
Publisher: Morgan & Claypool
ISBN: 1970001178
Category : Computers
Languages : en
Pages : 531
Get Book Here
Book Description
Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.
Author: Susan Strauss
Publisher: Routledge
ISBN: 1136328084
Category : Language Arts & Disciplines
Languages : en
Pages : 424
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Book Description
This introductory textbook presents a variety of approaches and perspectives that can be employed to analyze any sample of discourse. The perspectives come from multiple disciplines, including linguistics, sociolinguistics, and linguistic anthropology, all of which shed light on meaning and the interactional construction of meaning through language use. Students without prior experience in discourse analysis will appreciate and understand the micro-macro relationship of language use in everyday contexts, in professional and academic settings, in languages other than English, and in a wide variety of media outlets. Each chapter is supported by examples of spoken and written discourse from various types of data sources, including conversations, commercials, university lectures, textbooks, print ads, and blogs, and concludes with hands-on opportunities for readers to actually do discourse analysis on their own. Students can also utilize the book’s comprehensive companion website, with flash cards for key terms, quizzes, and additional data samples, for in-class activities and self-study. With its accessible multi-disciplinary approach and comprehensive data samples from a variety of sources, Discourse Analysis is the ideal core text for the discourse analysis course in applied linguistics, English, education, and communication programs.
Author: Ajay K. Manrai
Publisher: Springer
ISBN: 3319173561
Category : Business & Economics
Languages : en
Pages : 538
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Book Description
This volume includes the full proceedings from the 1999 World Marketing Congress held in Qawra, Malta with the theme Global Perspectives in Marketing for the 21st Century. The focus of the conference and the enclosed papers is on marketing thought and practices from a global perspective. This volume resents papers on various topics including marketing management, marketing strategy, and consumer behavior. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research and practice. Among its services to members and the community at large, the Academy offers conferences, congresses and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complimenting the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science.
Author: Makoto Nagao
Publisher: IOS Press
ISBN: 9784274074455
Category : Computers
Languages : en
Pages : 248
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Book Description
Author: Thora Tenbrink
Publisher: Cambridge University Press
ISBN: 1108529925
Category : Language Arts & Disciplines
Languages : en
Pages : 283
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Book Description
Analysing language data systematically and looking closely at how people formulate their thoughts can reveal astonishing insights about the human mind. Without presupposing specific subject knowledge, this book gently introduces its readers to theoretical insights as well as practical principles for systematic linguistic analysis from a cognitive perspective. Drawing on Thora Tenbrink's twenty years' experience in both linguistics and cognitive science, this book offers theoretical guidance and practical advice for doing cognitive discourse analysis. It covers areas of analysis as diverse as attention, perspective, granularity, certainty, inference, transformation, communication, and cognitive strategies, using inspiring examples from many different projects. Simple techniques and tools are used to allow readers new to the subject easy ways to apply the methods, without the need for complex technologies, whilst the cross-disciplinary approach can be applied to a diverse range of research purposes and contexts in which language and thought play a role.
Author: Elisa H. Barney Smith
Publisher: Springer Nature
ISBN: 3030861597
Category : Computers
Languages : en
Pages : 541
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Book Description
This book constitutes the proceedings of the international workshops co-located with the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.The total of 59 full and 12 short papers presented in this book were carefully selected from 96 submissions and divided into two volumes. Part II contains 30 full and 8 short papers that stem from the following meetings: Workshop on Machine Learning (WML); Workshop on Open Services and Tools for Document Analysis (OST); Workshop on Industrial Applications of Document Analysis and Recognition (WIADAR); Workshop on Computational Paleography (IWCP); Workshop on Document Images and Language (DIL); Workshop on Graph Representation Learning for Scanned Document Analysis (GLESDO).
Author: Gernot A. Fink
Publisher: Springer Nature
ISBN: 3031416821
Category : Computers
Languages : en
Pages : 524
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Book Description
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Author: Constantine H. Houpis
Publisher: CRC Press
ISBN: 0203911423
Category : Technology & Engineering
Languages : en
Pages : 859
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Book Description
Thoroughly classroom-tested and proven to be a valuable self-study companion, Linear Control System Analysis and Design: Fifth Edition uses in-depth explanations, diagrams, calculations, and tables, to provide an intensive overview of modern control theory and conventional control system design. The authors keep the mathematics to a minimum while stressing real-world engineering challenges. Completely updated and packed with student-friendly features, the Fifth Edition presents a wide range of examples using MATLAB® and TOTAL-PC, as well as an appendix listing MATLAB functions for optimizing control system analysis and design. Eighty percent of the problems presented in the previous edition have been revised to further reinforce concepts necessary for current electrical, aeronautical, astronautical, and mechanical applications.
Author: Simone Marinai
Publisher: Springer
ISBN: 3540286403
Category : Computers
Languages : en
Pages : 575
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Book Description
Thisvolumecontainspapersselectedforpresentationatthe6thIAPRWorkshop on Document Analysis Systems (DAS 2004) held during September 8–10, 2004 at the University of Florence, Italy. Several papers represent the state of the art in a broad range of “traditional” topics such as layout analysis, applications to graphics recognition, and handwritten documents. Other contributions address the description of complete working systems, which is one of the strengths of this workshop. Some papers extend the application domains to other media, like the processing of Internet documents. The peculiarity of this 6th workshop was the large number of papers related to digital libraries and to the processing of historical documents, a taste which frequently requires the analysis of color documents. A total of 17 papers are associated with these topics, whereas two yearsago (in DAS 2002) only a couple of papers dealt with these problems. In our view there are three main reasons for this new wave in the DAS community. From the scienti?c point of view, several research ?elds reached a thorough knowledge of techniques and problems that can be e?ectively solved, and this expertise can now be applied to new domains. Another incentive has been provided by several research projects funded by the EC and the NSF on topics related to digital libraries.
Author: Vaclav Matousek
Publisher: Springer
ISBN: 3540482393
Category : Technology & Engineering
Languages : en
Pages : 408
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Book Description
This book constitutes the refereed proceedings of the Second International Workshop on Text, Speech and Dialogue, TSD'99, held in Plzen, Czech Republic in September 1999. The 57 revised full papers and 19 posters presented were carefully reviewed and selected for inclusion in the book. The book presents state-of-the-art research and technology in the field of natural language processing with emphasis on text, speech, and spoken dialogue.
