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Full Description
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.
Contents
Chapter 1
Federated Learning for Natural Language Processing
Sergei Ternovykh, Anastasia Nikiforova
Chapter 2
Utility-Based Recommendation System For Large Datasets Using EAHUIM
Vandna Dahiya
Chapter 3
Anaphora Resolution: A Complete View with Case Study
Kalpana B. Khandale, C. Namrata Mahender
Chapter 4
A Review of the Approaches to Neural Machine Translation
Preetpal Kaur Buttar, Manoj Kumar Sachan
Chapter 5
Evolution of Question-Answering System from Information Retrieval: A Scientific Time Travel from Bangla
Bangla Arijit Das, Diganta Saha
Chapter 6
Recent Advances in Textual Code Switching
Sergei Ternovykh, Anastasia Nikiforova
Chapter 7
Legal Document Summarization using Hybrid model
Deekshitha, Nandhini K
Chapter 8
Concept Network using Network Text Analysis
Md Masum Billah, Dipanita Saha, Farzana Bhuiyan, Mohammed Kaosar
Chapter 9
Question Answering Versus Machine Reading Comprehension: Neural Machine Reading Comprehension using Transformer Models
NISHA VARGHESE, M. PUNITHAVALLI
Chapter 10
Online Subjective Question Answering System Necessity of Education System
Madhav A. Kankhar, Bharat A. Shelke, C. Namrata Mahender
