Automatic Indexing and Abstracting of Document Texts

Automatic Indexing and Abstracting of Document Texts
Author: Marie-Francine Moens
Publisher: Springer Science & Business Media
Total Pages: 276
Release: 2005-12-27
Genre: Computers
ISBN: 0306470179

Automatic Indexing and Abstracting of Document Texts summarizes the latest techniques of automatic indexing and abstracting, and the results of their application. It also places the techniques in the context of the study of text, manual indexing and abstracting, and the use of the indexing descriptions and abstracts in systems that select documents or information from large collections. Important sections of the book consider the development of new techniques for indexing and abstracting. The techniques involve the following: using text grammars, learning of the themes of the texts including the identification of representative sentences or paragraphs by means of adequate cluster algorithms, and learning of classification patterns of texts. In addition, the book is an attempt to illuminate new avenues for future research. Automatic Indexing and Abstracting of Document Texts is an excellent reference for researchers and professionals working in the field of content management and information retrieval.

Introduction to Information Retrieval

Introduction to Information Retrieval
Author: Christopher D. Manning
Publisher: Cambridge University Press
Total Pages:
Release: 2008-07-07
Genre: Computers
ISBN: 1139472100

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.

Indexing and Retrieval of Non-Text Information

Indexing and Retrieval of Non-Text Information
Author: Diane Rasmussen Neal
Publisher: Walter de Gruyter
Total Pages: 440
Release: 2012-10-30
Genre: Language Arts & Disciplines
ISBN: 3110260581

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.

Developing the economic information system for automated analysis of unstructured text documents

Developing the economic information system for automated analysis of unstructured text documents
Author: М. Дли
Publisher: Litres
Total Pages:
Release: 2022-01-27
Genre: Technology & Engineering
ISBN: 5041439680

The study of tasks and methods of automated text rubrication was conducted and their prospects for the analysis of unstructured electronic text documents were evaluated taking into account the peculiarities of appeals received from citizens to the authorities. The architecture of the information system of automated analysis of such documents is developed. It implements the proposed multi-model approach to the rubrication based on the integrated use of intelligent and probabilistic-statistical methods. The procedure of processing citizens’appeals received by the authorities using the document management system and the developed information system is given.Проведено исследование задач и методов автоматизированного рубрицирования текстов и оценены их перспективы для анализа неструктурированных электронных текстовых документов с учетом особенностей обращений граждан, поступающих в органы власти. Разработана архитектура информационной системы автоматизированного анализа таких документов, реализующая предложенный мультимодельный подход к рубрицированию, основанный на комплексном использовании интеллектуальных и вероятностно-статистических методов. Приведена процедура обработки обращений, поступающих в органы власти, с использованием системы документооборота и разработанной информационной системы.

Working with Text

Working with Text
Author: Emma Tonkin
Publisher: Elsevier
Total Pages: 346
Release: 2016-07-14
Genre: Language Arts & Disciplines
ISBN: 1780634307

What is text mining, and how can it be used? What relevance do these methods have to everyday work in information science and the digital humanities? How does one develop competences in text mining? Working with Text provides a series of cross-disciplinary perspectives on text mining and its applications. As text mining raises legal and ethical issues, the legal background of text mining and the responsibilities of the engineer are discussed in this book. Chapters provide an introduction to the use of the popular GATE text mining package with data drawn from social media, the use of text mining to support semantic search, the development of an authority system to support content tagging, and recent techniques in automatic language evaluation. Focused studies describe text mining on historical texts, automated indexing using constrained vocabularies, and the use of natural language processing to explore the climate science literature. Interviews are included that offer a glimpse into the real-life experience of working within commercial and academic text mining. - Introduces text analysis and text mining tools - Provides a comprehensive overview of costs and benefits - Introduces the topic, making it accessible to a general audience in a variety of fields, including examples from biology, chemistry, sociology, and criminology

Multimedia and Imaging Databases

Multimedia and Imaging Databases
Author: Setrag Khoshafian
Publisher: Morgan Kaufmann
Total Pages: 632
Release: 1996
Genre: Computers
ISBN: 9781558603127

Affordable and mainstream manipulation of multimedia data types will lead to tremendous growth in imaging and multimedia data in general computing environments. Multimedia and imaging applications can now provide benefits to common business applications by integrating voice, sound, images, animation and digitized video. Ultimately, it will be possible to convert all information that is currently stored on paper, video and film into a digitized environment. This will allow users to organize, search and route multimedia objects over local and wide area networks in real time. The authors' introductory level presentation of this new class of data types supplies the database technology required for effective manipulation and storage. Multimedia and database experts, Khoshafian and Baker aptly illustrate the ability of multimedia database systems to concurrently share, access, and query large collections of multimedia information. They introduce the elemental concepts of object and relational databases and then apply them to multimedia and imaging databases. Fundamental database topics discussed include querying, transaction support, recovery, security, and storage. This book provides information essential to the incorporation of multimedia databases that will improve the quantity and quality of information manipulated by computer users in many areas including medicine, computer aided design, and information retrieval systems.

Indexing and Classification

Indexing and Classification
Author: Winifred F. Desmond
Publisher: Oak Ridge, Tenn. : Oak Ridge National Laboratory
Total Pages: 186
Release: 1966
Genre: Abstracting and indexing
ISBN:

Data Mining

Data Mining
Author: Sushmita Mitra
Publisher: John Wiley & Sons
Total Pages: 423
Release: 2005-01-21
Genre: Computers
ISBN: 0471474886

First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining