Textual Information Access

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Textual Information Access

Author : Eric Gaussier
Publisher : John Wiley & Sons
ISBN 13 : 1118562801
Total Pages : 334 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Textual Information Access by : Eric Gaussier

Download or read book Textual Information Access written by Eric Gaussier and published by John Wiley & Sons. This book was released on 2013-02-04 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. The problems considered are linked to applications aiming at facilitating information access: - information extraction and retrieval; - text classification and clustering; - opinion mining; - comprehension aids (automatic summarization, machine translation, visualization). In order to give the reader as complete a description as possible, the focus is placed on the probability models used in the applications concerned, by highlighting the relationship between models and applications and by illustrating the behavior of each model on real collections. Textual Information Access is organized around four themes: informational retrieval and ranking models, classification and clustering (regression logistics, kernel methods, Markov fields, etc.), multilingualism and machine translation, and emerging applications such as information exploration. Contents Part 1: Information Retrieval 1. Probabilistic Models for Information Retrieval, Stéphane Clinchant and Eric Gaussier. 2. Learnable Ranking Models for Automatic Text Summarization and Information Retrieval, Massih-Réza Amini, David Buffoni, Patrick Gallinari, Tuong Vinh Truong and Nicolas Usunier. Part 2: Classification and Clustering 3. Logistic Regression and Text Classification, Sujeevan Aseervatham, Eric Gaussier, Anestis Antoniadis, Michel Burlet and Yves Denneulin. 4. Kernel Methods for Textual Information Access, Jean-Michel Renders. 5. Topic-Based Generative Models for Text Information Access, Jean-Cédric Chappelier. 6. Conditional Random Fields for Information Extraction, Isabelle Tellier and Marc Tommasi. Part 3: Multilingualism 7. Statistical Methods for Machine Translation, Alexandre Allauzen and François Yvon. Part 4: Emerging Applications 8. Information Mining: Methods and Interfaces for Accessing Complex Information, Josiane Mothe, Kurt Englmeier and Fionn Murtagh. 9. Opinion Detection as a Topic Classification Problem, Juan-Manuel Torres-Moreno, Marc El-Bèze, Patrice Bellot and Fréderic Béchet.

Exploring Textual Data

Author : Ludovic Lebart
Publisher : Springer Science & Business Media
ISBN 13 : 9401715254
Total Pages : 270 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Exploring Textual Data by : Ludovic Lebart

Download or read book Exploring Textual Data written by Ludovic Lebart and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers in a number of disciplines deal with large text sets requiring both text management and text analysis. Faced with a large amount of textual data collected in marketing surveys, literary investigations, historical archives and documentary data bases, these researchers require assistance with organizing, describing and comparing texts. Exploring Textual Data demonstrates how exploratory multivariate statistical methods such as correspondence analysis and cluster analysis can be used to help investigate, assimilate and evaluate textual data. The main text does not contain any strictly mathematical demonstrations, making it accessible to a large audience. This book is very user-friendly with proofs abstracted in the appendices. Full definitions of concepts, implementations of procedures and rules for reading and interpreting results are fully explored. A succession of examples is intended to allow the reader to appreciate the variety of actual and potential applications and the complementary processing methods. A glossary of terms is provided.

Text- and Speech-Triggered Information Access

Author : Steve Renals
Publisher : Springer Science & Business Media
ISBN 13 : 3540406352
Total Pages : 203 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Text- and Speech-Triggered Information Access by : Steve Renals

Download or read book Text- and Speech-Triggered Information Access written by Steve Renals and published by Springer Science & Business Media. This book was released on 2003-08-04 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents revised versions of the lectures given at the 8th ELSNET European Summer School on Language and Speech Communication held on the Island of Chios, Greece, in summer 2000. Besides an introductory survey, the book presents lectures on data analysis for multimedia libraries, pronunciation modeling for large vocabulary speech recognition, statistical language modeling, very large scale information retrieval, reduction of information variation in text, and a concluding chapter on open questions in research for linguistics in information access. The book gives newcomers to language and speech communication a clear overview of the main technologies and problems in the area. Researchers and professionals active in the area will appreciate the book as a concise review of the technologies used in text- and speech-triggered information access.

Clinical Text Mining

Author : Hercules Dalianis
Publisher : Springer
ISBN 13 : 3319785036
Total Pages : 192 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Clinical Text Mining by : Hercules Dalianis

Download or read book Clinical Text Mining written by Hercules Dalianis and published by Springer. This book was released on 2018-05-14 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.

Data and Text Processing for Health and Life Sciences

Author : Francisco M. Couto
Publisher : Springer
ISBN 13 : 3030138453
Total Pages : 107 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data and Text Processing for Health and Life Sciences by : Francisco M. Couto

Download or read book Data and Text Processing for Health and Life Sciences written by Francisco M. Couto and published by Springer. This book was released on 2019-06-10 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is a step-by-step introduction on how shell scripting can help solve many of the data processing tasks that Health and Life specialists face everyday with minimal software dependencies. The examples presented in the book show how simple command line tools can be used and combined to retrieve data and text from web resources, to filter and mine literature, and to explore the semantics encoded in biomedical ontologies. To store data this book relies on open standard text file formats, such as TSV, CSV, XML, and OWL, that can be open by any text editor or spreadsheet application. The first two chapters, Introduction and Resources, provide a brief introduction to the shell scripting and describe popular data resources in Health and Life Sciences. The third chapter, Data Retrieval, starts by introducing a common data processing task that involves multiple data resources. Then, this chapter explains how to automate each step of that task by introducing the required commands line tools one by one. The fourth chapter, Text Processing, shows how to filter and analyze text by using simple string matching techniques and regular expressions. The last chapter, Semantic Processing, shows how XPath queries and shell scripting is able to process complex data, such as the graphs used to specify ontologies. Besides being almost immutable for more than four decades and being available in most of our personal computers, shell scripting is relatively easy to learn by Health and Life specialists as a sequence of independent commands. Comprehending them is like conducting a new laboratory protocol by testing and understanding its procedural steps and variables, and combining their intermediate results. Thus, this book is particularly relevant to Health and Life specialists or students that want to easily learn how to process data and text, and which in return may facilitate and inspire them to acquire deeper bioinformatics skills in the future.

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Author : Gary Miner
Publisher : Academic Press
ISBN 13 : 012386979X
Total Pages : 1096 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications by : Gary Miner

Download or read book Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications written by Gary Miner and published by Academic Press. This book was released on 2012-01-11 with total page 1096 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications 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"--

Text Data Management and Analysis

Author : ChengXiang Zhai
Publisher : Morgan & Claypool
ISBN 13 : 1970001178
Total Pages : 531 pages
Book Rating : 4.9/5 (7 download)

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Book Synopsis Text Data Management and Analysis by : ChengXiang Zhai

Download or read book Text Data Management and Analysis written by ChengXiang Zhai and published by Morgan & Claypool. This book was released on 2016-06-30 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining

Author : John Wang
Publisher : IGI Global
ISBN 13 : 9781931777834
Total Pages : 496 pages
Book Rating : 4.7/5 (778 download)

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Book Synopsis Data Mining by : John Wang

Download or read book Data Mining written by John Wang and published by IGI Global. This book was released on 2003-01-01 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An overview of the multidisciplinary field of data mining, this book focuses specifically on new methodologies and case studies. Included are case studies written by 44 leading scientists and talented young scholars from seven different countries. Topics covered include data mining based on rough sets, the impact of missing data, and mining free text for structure. In addition, the four basic mining operations supported by numerous mining techniques are addressed: predictive model creation supported by supervised induction techniques; link analysis supported by association discovery and sequence discovery techniques; DB segmentation supported by clustering techniques; and deviation detection supported by statistical techniques."

Text Displays

Author : George Leonard Gropper
Publisher : Educational Technology
ISBN 13 : 9780877782315
Total Pages : 412 pages
Book Rating : 4.7/5 (823 download)

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Book Synopsis Text Displays by : George Leonard Gropper

Download or read book Text Displays written by George Leonard Gropper and published by Educational Technology. This book was released on 1991 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a formal and comprehensive account of how any type of text display can be visually organized to make it more effective.

Toponym Resolution in Text

Author : Jochen L. Leidner
Publisher : Universal-Publishers
ISBN 13 : 1581123841
Total Pages : 290 pages
Book Rating : 4.5/5 (811 download)

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Book Synopsis Toponym Resolution in Text by : Jochen L. Leidner

Download or read book Toponym Resolution in Text written by Jochen L. Leidner and published by Universal-Publishers. This book was released on 2008 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally presented as author's thesis: Doctor of Philosophy, University of Edinburgh, 2007.

Indexing and Retrieval of Non-Text Information

Author : Diane Rasmussen Neal
Publisher : Walter de Gruyter
ISBN 13 : 3110260581
Total Pages : 440 pages
Book Rating : 4.1/5 (12 download)

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Book Synopsis Indexing and Retrieval of Non-Text Information by : Diane Rasmussen Neal

Download or read book Indexing and Retrieval of Non-Text Information written by Diane Rasmussen Neal and published by Walter de Gruyter. This book was released on 2012-10-30 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of this volume will encompass a collection of research papers related to indexing and retrieval of online non-text information. In recent years, the Internet has seen an exponential increase in the number of documents placed online that are not in textual format. These documents appear in a variety of contexts, such as user-generated content sharing websites, social networking websites etc. and formats, including photographs, videos, recorded music, data visualizations etc. The prevalence of these contexts and data formats presents a particularly challenging task to information indexing and retrieval research due to many difficulties, such as assigning suitable semantic metadata, processing and extracting non-textual content automatically, and designing retrieval systems that "speak in the native language" of non-text documents.

Mining Text Data

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
ISBN 13 : 1461432235
Total Pages : 527 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Mining Text Data by : Charu C. Aggarwal

Download or read book Mining Text Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2012-02-03 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.

Data, Engineering and Applications

Author : Sanjeev Sharma
Publisher : Springer Nature
ISBN 13 : 9811946876
Total Pages : 693 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Data, Engineering and Applications by : Sanjeev Sharma

Download or read book Data, Engineering and Applications written by Sanjeev Sharma and published by Springer Nature. This book was released on 2022-10-11 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.

Mobile and Ubiquitous Information Access

Author : Fabio Crestani
Publisher : Springer
ISBN 13 : 354024641X
Total Pages : 308 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Mobile and Ubiquitous Information Access by : Fabio Crestani

Download or read book Mobile and Ubiquitous Information Access written by Fabio Crestani and published by Springer. This book was released on 2004-01-26 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ongoing migration of computing and information access from the desktop and te- phone to mobile computing devices such as PDAs, tablet PCs, and next-generation (3G) phones poses critical challenges for research on information access. Desktop computer users are now used to accessing vast quantities of complex data either directly on their PC or via the Internet – with many services now blurring that distinction. The current state-of-practice of mobile computing devices, be they mobile phones, hand-held computers, or personal digital assistants (PDAs), is very variable. Most mobile phones have no or very limited information storage and very poor Internet access. Furthermore, very few end-users make any, never mind extensive, use of the services that are provided. Hand-held computers, on the other hand, tend to have no wireless network capabilities and tend to be used very much as electronic diaries, with users tending not to go beyond basic diary applications.

Accessing U.S. Department of Energy Scientific and Technical Information

Author :
Publisher :
ISBN 13 :
Total Pages : 268 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Accessing U.S. Department of Energy Scientific and Technical Information by :

Download or read book Accessing U.S. Department of Energy Scientific and Technical Information written by and published by . This book was released on 1993 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Interactive Multimedia

Author : Dragan Cvetković
Publisher : BoD – Books on Demand
ISBN 13 : 1789239117
Total Pages : 230 pages
Book Rating : 4.7/5 (892 download)

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Book Synopsis Interactive Multimedia by : Dragan Cvetković

Download or read book Interactive Multimedia written by Dragan Cvetković and published by BoD – Books on Demand. This book was released on 2019-09-25 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimedia is the common name for media that combine more than one type of individual medium to create a single unit. Interactive media are the means of communication in which the outputs depend on the inputs made by the user. This book contains 11 chapters that are divided into two sections: Interactive Multimedia and Education and Interactive Multimedia and Medicine. The authors of the chapters deal with different topics within these disciplines, such as the importance of cloud storage, development of play tools for children, use of gaming on multimedia devices designed for the elderly, development of a reading, writing, and spelling program based on Luria's theories, as well as development of mobile applications called BloodHero dedicated to the increase in blood donors, etc.

Advances in Semantic Media Adaptation and Personalization

Author : Manolis Wallace
Publisher : Springer
ISBN 13 : 3540763619
Total Pages : 376 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advances in Semantic Media Adaptation and Personalization by : Manolis Wallace

Download or read book Advances in Semantic Media Adaptation and Personalization written by Manolis Wallace and published by Springer. This book was released on 2008-01-04 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Realizing the growing importance of semantic adaptation and personalization of media, the editors of this book brought together leading researchers and practitioners of the field to discuss the state-of-the-art, and explore emerging exciting developments. This volume comprises extended versions of selected papers presented at the 1st International Workshop on Semantic Media Adaptation and Personalization (SMAP 2006), which took place in Athens in December 2006.