Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Natural Language Processing and Information Retrieval: Principles and Applications Description An account of the resource 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. 2024 selection and editorial matter, Muskan Garg, Sandeep Kumar and Abdul Khader Jilani Saudagar chapters. Creator An entity primarily responsible for making the resource Garg M.; Kumar S.; Saudagar A.K.J. Source A related resource from which the described resource is derived Natural Language Processing and Information Retrieval: Principles and Applications, pp. 1-252. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003244332" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003244332</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176850794&amp;doi=10.1201%2F9781003244332&amp;partnerID=40&amp;md5=980833891cef65033f615b2eeede87a1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176850794&amp;doi=10.1201%2f9781003244332&amp;partnerID=40&amp;md5=980833891cef65033f615b2eeede87a1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100380048-4; 978-103215492-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Garg M., Mayo Clinic, Rochester, MN, United States; Kumar S., CHRIST (Deemed to be University), Bangalore, India; Saudagar A.K.J., Information Systems Department, College of Computer and Information Sciences (CCIS), Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, South Africa