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Trends and Applications of Text Summarization Techniques, 1st Edition

  • Alessandro Fiori
  • Published By: Engineering Science Reference
  • ISBN-10: 1522593756
  • ISBN-13: 9781522593751
  • DDC: 025.4
  • 335 Pages | eBook
  • Original Copyright 2020 | Published/Released August 2020
  • This publication's content originally published in print form: 2020

  • Price:  Sign in for price

About

Overview

While the availability of electronic documents increases exponentially with advancing technology, the time spent to process this wealth of resourceful information decreases. Content analysis and information extraction must be aided by summarization methods to quickly parcel pieces of interest and allow for succinct user familiarization in a simple, efficient manner. Trends and Applications of Text Summarization Techniques is a pivotal reference source that explores the latest approaches of document summarization including update, multi-lingual, and domain-oriented summarization tasks and examines their current real-world applications in multiple fields. Featuring coverage on a wide range of topics such as parallel construction, social network integration, and evaluation metrics, this book is ideally designed for information technology practitioners, computer scientists, bioinformatics analysts, business managers, healthcare professionals, academicians, researchers, and students.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Data Mining and Database Management (ADMDM) Book Series.
Titles in This Series.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
Acknowledgment.
Concepts and Methods.
1: Combining Machine Learning and Natural Language Processing for Language-Specific, Multi Lingual, and Cross-Lingual Text Summarization: A Wide-Ranging Overview.
2: The Development of Single Document Abstractive Text Summarizer During the Last Decade.
3: Mining Scientific and Technical Literature: From Knowledge Extraction to Summarization.
4: Data Text Mining Based on Swarm Intelligence Techniques: Review of Text Summarization Systems.
5: Named Entity Recognition in Document Summarization.
Domain Applications.
6: Text Classification and Topic Modeling for Online Discussion Forums: An Empirical Study From the Systems Modeling Community.
7: Summarization in the Financial and Regulatory Domain.
8: Opinion Mining and Product Review Summarization in E-Commerce.
9: Scaling and Semantically Enriching Language Agnostic Summarization.
Compilation of References.
About the Contributors.
Index.