Natural Language Processing and Information Retrieval
eBook - ePub

Natural Language Processing and Information Retrieval

Principles and Applications

Muskan Garg, Sandeep Kumar, Abdul Khader Jilani Saudagar, Muskan Garg, Sandeep Kumar, Abdul Khader Jilani Saudagar

  1. 252 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Natural Language Processing and Information Retrieval

Principles and Applications

Muskan Garg, Sandeep Kumar, Abdul Khader Jilani Saudagar, Muskan Garg, Sandeep Kumar, Abdul Khader Jilani Saudagar

Book details
Table of contents
Citations

About This Book

This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining.Features: • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation
• Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data
• Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining
• Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing
• Covers latest datasets for natural language processing and information retrieval for social media like Twitter

The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.

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Information

Publisher
CRC Press
Year
2023
ISBN
9781003801887

Table of contents

  1. Cover
  2. Half Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. Editors
  9. Contributors
  10. 1 Federated learning for natural language processing
  11. 2 Utility-based recommendation system for large datasets using EAHUIM
  12. 3 Anaphora resolution: A complete view with case study
  13. 4 A review of the approaches to neural machine translation
  14. 5 Evolution of question-answering system from information retrieval: A scientific time travel for Bangla
  15. 6 Recent advances in textual code-switching
  16. 7 Legal document summarization using hybrid model
  17. 8 Concept network using network text analysis
  18. 9 Question-answering versus machine reading comprehension: Neural machine reading comprehension using transformer models
  19. 10 Online subjective question-answering system necessity of education system
  20. Index