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Intelligent Natural Language Processing: Trends and Applications

  • Book
  • © 2018

Overview

  • Presents state-of-the-art research on natural language processing, computational linguistics, applied Arabic linguistics, and related areas
  • Highlights emerging trends in natural language processing systems, such as big data analysis, social network analysis, the Internet of Things, smart services, mobile computing, and computer games
  • Written by respected experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 740)

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Table of contents (35 chapters)

  1. Sentiment Analysis

  2. Machine Translation

  3. Information Extraction

  4. Information Retrieval and Question Answering

  5. Text Classification

Keywords

About this book

This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned.

Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas.

New trends in natural language processing systems are rapidly emerging – and finding application in various domains including education, travel and tourism, and healthcare, among others. Many issues encountered during the development of these applications can be resolved by incorporating language

technology solutions.

The topics covered by the book include: Character and Speech Recognition; Morphological, Syntactic, and Semantic Processing; Information Extraction; Information Retrieval and Question Answering; Text Classification and Text Mining; Text Summarization; Sentiment Analysis; Machine Translation Building and Evaluating Linguistic Resources; and Intelligent Language Tutoring Systems.

Editors and Affiliations

  • The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  • Faculty of Computers and Information Technology, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  • Faculty of Computers and Information, Ain Shams University, Cairo, Egypt

    Fahmy Tolba

Bibliographic Information

  • Book Title: Intelligent Natural Language Processing: Trends and Applications

  • Editors: Khaled Shaalan, Aboul Ella Hassanien, Fahmy Tolba

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-67056-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-67055-3Published: 29 November 2017

  • Softcover ISBN: 978-3-319-88371-7Published: 01 September 2018

  • eBook ISBN: 978-3-319-67056-0Published: 17 November 2017

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 776

  • Number of Illustrations: 73 b/w illustrations, 142 illustrations in colour

  • Topics: Computational Intelligence, Natural Language Processing (NLP), Computational Linguistics, Big Data

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