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Textual Information Access

Author: Eric Gaussier

Publisher: John Wiley & Sons

Published: 2013-02-04

Total Pages: 334

ISBN-13: 1118562801

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.

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

Author: Gary Miner

Publisher: Academic Press

Published: 2012-01-11

Total Pages: 1096

ISBN-13: 012386979X

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"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"--

Data Mining

Author: John Wang

Publisher: IGI Global

Published: 2003-01-01

Total Pages: 484

ISBN-13: 1591400953

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Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case studies. This book contains numerous chapters written by an international team of forty-four experts representing leading scientists and talented young scholars from seven different countries.

Evaluating Systems for Multilingual and Multimodal Information Access

Author: Thomas Deselaers

Publisher: Springer

Published: 2009-09-29

Total Pages: 1026

ISBN-13: 3642044476

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The ninth campaign of the Cross-Language Evaluation Forum (CLEF) for European languages was held from January to September 2008. There were seven main eval- tion tracks in CLEF 2008 plus two pilot tasks. The aim, as usual, was to test the p- formance of a wide range of multilingual information access (MLIA) systems or s- tem components. This year, 100 groups, mainly but not only from academia, parti- pated in the campaign. Most of the groups were from Europe but there was also a good contingent from North America and Asia plus a few participants from South America and Africa. Full details regarding the design of the tracks, the methodologies used for evaluation, and the results obtained by the participants can be found in the different sections of these proceedings. The results of the CLEF 2008 campaign were presented at a two-and-a-half day workshop held in Aarhus, Denmark, September 17–19, and attended by 150 resear- ers and system developers. The annual workshop, held in conjunction with the European Conference on Digital Libraries, plays an important role by providing the opportunity for all the groups that have participated in the evaluation campaign to get together comparing approaches and exchanging ideas. The schedule of the workshop was divided between plenary track overviews, and parallel, poster and breakout sessions presenting this year’s experiments and discu- ing ideas for the future. There were several invited talks.

Clinical Text Mining

Author: Hercules Dalianis

Publisher: Springer

Published: 2018-05-14

Total Pages: 192

ISBN-13: 3319785036

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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.

Text Displays

Author: George Leonard Gropper

Publisher: Educational Technology

Published: 1991

Total Pages: 412

ISBN-13: 9780877782315

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Presents a formal and comprehensive account of how any type of text display can be visually organized to make it more effective.

Data, Engineering and Applications

Author: Sanjeev Sharma

Publisher: Springer Nature

Published: 2022-10-11

Total Pages: 693

ISBN-13: 9811946876

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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

Published: 2004-01-26

Total Pages: 308

ISBN-13: 354024641X

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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.

Interactive Multimedia

Author: Dragan Cvetković

Publisher: BoD – Books on Demand

Published: 2019-09-25

Total Pages: 230

ISBN-13: 1789239117

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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

Published: 2008-01-04

Total Pages: 376

ISBN-13: 3540763619

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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.