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Deep Learning-Based Approaches for Sentiment Analysis

  • Basant Agarwal
  • Richi Nayak
  • Namita Mittal
  • Srikanta Patnaik
Book
  • 2.1k Downloads

Part of the Algorithms for Intelligent Systems book series (AIS)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ajeet Ram Pathak, Basant Agarwal, Manjusha Pandey, Siddharth Rautaray
    Pages 1-31
  3. Danilo Dessí, Mauro Dragoni, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero
    Pages 57-83
  4. Julian Risch, Ralf Krestel
    Pages 85-109
  5. Hitkul, Simra Shahid, Shivangi Singhal, Debanjan Mahata, Ponnurangam Kumaraguru, Rajiv Ratn Shah
    Pages 111-137
  6. Kshitij Rajput, Raghav Kapoor, Puneet Mathur, Hitkul, Ponnurangam Kumaraguru, Rajiv Ratn Shah
    Pages 159-192
  7. Hitesh Nankani, Hritwik Dutta, Harsh Shrivastava, P. V. N. S. Rama Krishna, Debanjan Mahata, Rajiv Ratn Shah
    Pages 193-236
  8. Niladri Chatterjee, Tanya Aggarwal, Rishabh Maheshwari
    Pages 237-258
  9. Anjali Bhavan, Mohit Sharma, Mehak Piplani, Pankaj Chauhan, Hitkul, Rajiv Ratn Shah
    Pages 259-289

About this book

Introduction

This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field. 


Keywords

Sentiment Analysis Opinion Mining Deep Learning Text Mining Convolutional Neural Network Recurrent Neural Network Long Short-term Memory Networks Sentiment Mining Sentiment Classification

Editors and affiliations

  • Basant Agarwal
    • 1
  • Richi Nayak
    • 2
  • Namita Mittal
    • 3
  • Srikanta Patnaik
    • 4
  1. 1.Indian Institute of Information Technology Kota (IIIT-Kota)JaipurIndia
  2. 2.Faculty of Science and Engineering, School of Electrical Engineering and Computer ScienceQueensland University of TechnologyBrisbaneAustralia
  3. 3.Department of Computer Science and EngineeringMalaviya National Institute of TechnologyJaipurIndia
  4. 4.Department of Computer Science and EngineeringSOA UniversityBhubaneswarIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-1216-2
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-15-1215-5
  • Online ISBN 978-981-15-1216-2
  • Series Print ISSN 2524-7565
  • Series Online ISSN 2524-7573
  • Buy this book on publisher's site
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