Neural Networks for Natural Language Processing

Neural Networks for Natural Language Processing

Noted as an IGI Global Core Reference Title in Computer Science & IT for 2019.

Release Date: November, 2019|Copyright: © 2020 |Pages: 227
DOI: 10.4018/978-1-7998-1159-6
ISBN13: 9781799811596|ISBN10: 179981159X|ISBN13 Softcover: 9781799811602|EISBN13: 9781799811619
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Description & Coverage
Description:

Information in today’s advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach.

Neural Networks for Natural Language Processing is a collection of innovative research on the methods and applications of linguistic information processing and its computational properties. This publication will support readers with performing sentence classification and language generation using neural networks, apply deep learning models to solve machine translation and conversation problems, and apply deep structured semantic models on information retrieval and natural language applications. While highlighting topics including deep learning, query entity recognition, and information retrieval, this book is ideally designed for research and development professionals, IT specialists, industrialists, technology developers, data analysts, data scientists, academics, researchers, and students seeking current research on the fundamental concepts and techniques of natural language processing.

Coverage:

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

  • Deep Learning
  • Information Retrieval
  • Knowledge Graph Generation
  • Machine Learning
  • Ontology Creation
  • Query Entity Recognition
  • Structured Data
  • Text Categorization
  • Text Classification
  • Text Summarization
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Editor/Author Biographies

Sumathi S. obtained her B.E. degree in Computer science and Engineering from GCE, Tirunelveli in 2000, and Master’s degree from Sathyabama University with distinction in 2009. She received her Doctorate from Anna University in January 2017. She is currently working as Associate Professor in St. Joseph’s College of Engineering in the department of Information Technology, Chennai. She has 15 years of teaching experience. She has published 12 papers in journal and International conferences. From 2000 to 2002, she worked as an embedded software engineer and completed several projects for NIOT-Chennai. She is passionate towards innovative projects and has guided many students in the field of Networks, Artificial intelligence etc. She has also mentored students in competitions such as Smart India Hackathon and Nokia Technology Day. She has been invited as session chair for many international conferences. Her student’s project has been nominated for CTS best project and also for INAE award. She is an active Doctoral Committee member through which she has provided guidance to those carrying out research.

Janani M. obtained her B.TECH degree in Information Technology from Prince Shri Venkateshwara Padmavathy Engineering College with Distinction in 2009 and Master’s degree from Anna University in 2011. She is currently working as Assistant Professor in St.Joseph’s College of Engineering in the department of Information Technology, Chennai. She has 8 years of teaching experience. She has published a paper in an International conference in the field of Natural Language Processing. She is passionate towards innovative projects and has guided many students in the field of Networks, NLP, Multimedia, IOT, etc.

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