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Author | : Marie-Francine Moens |
Publisher | : Springer Science & Business Media |
Total Pages | : 255 |
Release | : 2006-10-10 |
Genre | : Language Arts & Disciplines |
ISBN | : 1402049935 |
Download Information Extraction: Algorithms and Prospects in a Retrieval Context Book in PDF, ePub and Kindle
This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.
Author | : Charu C. Aggarwal |
Publisher | : Springer Science & Business Media |
Total Pages | : 527 |
Release | : 2012-02-03 |
Genre | : Computers |
ISBN | : 1461432235 |
Download Mining Text Data Book in PDF, ePub and Kindle
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.
Author | : Christopher D. Manning |
Publisher | : Cambridge University Press |
Total Pages | : |
Release | : 2008-07-07 |
Genre | : Computers |
ISBN | : 1139472100 |
Download Introduction to Information Retrieval Book in PDF, ePub and Kindle
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.
Author | : M. Costantino |
Publisher | : WIT Press |
Total Pages | : 193 |
Release | : 2008 |
Genre | : Business & Economics |
ISBN | : 1845641469 |
Download Information Extraction in Finance Book in PDF, ePub and Kindle
Professional financial traders are currently overwhelmed with news and extracting relevant information is a long and hard task, whilst trading decisions require immediate actions. Primarily intended for financial organizations and business analysts, this book provides an introduction to the algorithmic solutions to automatically extract the desired information from Internet news and obtain it in a well structured form. It places emphasis on the principles of the method rather than its numerical implementation, omitting the mathematical details that might otherwise obscure the text, and focuses on the advantages and on the problems of each method. The authors also include many practical examples with complete references and algorithms for similar problems, which may be useful in the financial field, and basic techniques applied in other information extraction fields which may be imported into the financial news analysis.
Author | : Mário Rodrigues |
Publisher | : Springer |
Total Pages | : 82 |
Release | : 2015-05-06 |
Genre | : Computers |
ISBN | : 3319155636 |
Download Advanced Applications of Natural Language Processing for Performing Information Extraction Book in PDF, ePub and Kindle
This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. The book discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. The book also discusses concrete applications illustrating IE uses. · Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for the software developer and providing references for specialized literature in the area · Presents a comprehensive list of freely available, high quality software for several subtasks of IE and for several natural languages · Describes a generic architecture that can learn how to extract information for a given application domain
Author | : Maria T. Pazienza |
Publisher | : Springer Science & Business Media |
Total Pages | : 175 |
Release | : 1999-10-06 |
Genre | : Computers |
ISBN | : 3540666257 |
Download Information Extraction Book in PDF, ePub and Kindle
"By investigating the general structures of natural language and logic as well as relevant software engineering methodologies, the lectures presented in this book attempt the development of principled techniques for domain-independent IE. The book is based on the Second International School on Information Extraction, SCIE-99, held in Frascati near Rome, Italy in June/July 1999."--BOOK JACKET.
Author | : Sunita Sarawagi |
Publisher | : Now Publishers Inc |
Total Pages | : 131 |
Release | : 2008 |
Genre | : Computers |
ISBN | : 1601981880 |
Download Information Extraction Book in PDF, ePub and Kindle
Surveys over two decades of information extraction research from various communities such as computational linguistics, machine learning, databases and information retrieval.
Author | : Thierry Poibeau |
Publisher | : Springer Science & Business Media |
Total Pages | : 331 |
Release | : 2012-08-14 |
Genre | : Computers |
ISBN | : 3642285694 |
Download Multi-source, Multilingual Information Extraction and Summarization Book in PDF, ePub and Kindle
Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.
Author | : Shunlin Liang |
Publisher | : Academic Press |
Total Pages | : 821 |
Release | : 2012-12-06 |
Genre | : Science |
ISBN | : 0123859557 |
Download Advanced Remote Sensing Book in PDF, ePub and Kindle
Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book’s content intuitive, clearly presented, and practical in its implementation. Comprehensive overview of various practical methods and algorithms Detailed description of the principles and procedures of the state-of-the-art algorithms Real-world case studies open several chapters More than 500 full-color figures and tables Edited by top remote sensing experts with contributions from authors across the geosciences
Author | : Maria T. Pazienza |
Publisher | : Springer |
Total Pages | : 223 |
Release | : 2005-08-29 |
Genre | : Computers |
ISBN | : 3540695486 |
Download Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology Book in PDF, ePub and Kindle
Information extraction (IE) is a new technology enabling relevant content to be extracted from textual information available electronically. IE essentially builds on natural language processing and computational linguistics, but it is also closely related to the well established area of information retrieval and involves learning. In concert with other promising and emerging information engineering technologies like data mining, intelligent data analysis, and text summarization, IE will play a crucial role for scientists and professionals as well as other end-users who have to deal with vast amounts of information, for example from the Internet. As the first book solely devoted to IE, it is of relevance to anybody interested in new and emerging trends in information processing technology.