Natural Language Processing and Information Retrieval - Principles and Applications

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. The book- • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation. • Discusses recent advancements in language-independent 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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Computational and Intelligent Systems
Release date:	November 2023
First published:	2023
Editors:	Muskan Garg • Sandeep Kumar • Abdul Khader Jilani Saudagar
Dimensions:	234 x 156mm (L x W)
Pages:	312
ISBN-13:	978-1-03-215492-3
Categories:	Books Promotions
LSN:	1-03-215492-6
Barcode:	9781032154923

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!