Trends and Applications of Text Summarization Techniques

Trends and Applications of Text Summarization Techniques

Alessandro Fiori (Candiolo Cancer Institute – FPO, IRCCS, Italy)
Release Date: August, 2019|Copyright: © 2020 |Pages: 335
ISBN13: 9781522593737|ISBN10: 152259373X|EISBN13: 9781522593751|DOI: 10.4018/978-1-5225-9373-7

Description

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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Cloud Computing
  • E-Healthcare Systems
  • Evaluation Metrics
  • Knowledge Graphs
  • Large Document Analytics
  • Mobile Devices
  • Multi-Lingual Approaches
  • Named Entity Recognition
  • News Aggregators
  • Ontological Properties
  • Parallel Construction
  • Social Network Integration

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Alessandro Fiori received the European Ph.D. degree from Politecnico di Torino, Italy. He is project manager at the Candiolo Cancer Institute - FPO IRCCS, Italy, since January 2012. His research interests are in the field of data mining, in particular bioinformatics and text mining. His activity is focused on the development of information systems and analysis frameworks oriented to the management and integration of biological and molecular data. His research activities are also devoted to text summarization and social network analysis.