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    Natural Language Processing and Information Retrieval

    Principles and Applications

    AvMuskan Garg,Sandeep Kumar

    Inbunden, Engelska, 2023

    Del i serien Computational and Intelligent Systems

    2 052 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

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

    Produktinformation

    • Utgivningsdatum:2023-11-28
    • Mått:156 x 234 x 19 mm
    • Vikt:480 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Computational and Intelligent Systems
    • Antal sidor:252
    • Förlag:Taylor & Francis Ltd
    • ISBN:9781032154923

    Utforska kategorier

    • Elektronik och kommunikationer inom Naturvetenskap och teknik
    • Systemvetenskap och AI inom Data och IT
    • Databaser inom Data och IT

    Mer om författaren

    Dr. Sandeep Kumar is currently a professor at CHRIST (Deemed to be University), Bangalore. He recently completed his post-doctoral research at Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia, in sentiment analysis. He is an associate editor for Springer's Human-centric Computing and Information Sciences (HCIS) journal. He has published more than eighty research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited seven books in the area of computer science. Also, he has been serving as General Chair of the International Conference on Communication and Computational Technologies (ICCCT 2021, 22, and 23) and the Congress on Intelligent Systems (CIS 2022 and 2023). His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.Dr. Abdul Khader Jilani SaudagarAbdul Khader Jilani Saudagar received the Bachelor of Engineering (B.E.), Master of Technology (M. Tech.), and Doctor of Philosophy (Ph.D.) degrees in computer science and engineering, in 2001, 2006, and 2010, respectively. He is currently working as an Associate Professor with the Information Systems Department, College of Computer and Information Sciences (CCIS), Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. He is also the Head of the Intelligent Interactive Systems Research Group (IISRG), CCIS. He has ten years of research and teaching experience at both undergraduate (UG) and postgraduate (PG) level. He was the Principal Investigator of the funded projects from KACST, the Deanship of Scientific Research (IMSIU), and is working as the Principal Investigator for the project titled ``Usage of modern technologies to predict emergence of infectious diseases and to detect outbreak of pandemics'' in grand challenge track, funded by the Ministry of Education, Saudi Arabia. He has published a number of research papers in international journals and conferences. His research interests include artificial image processing, information technology, databases, and web and mobile application development. He is associated as a member with various professional bodies, like ACM, IACSIT, IAENG, and ISTE. He is working as an editorial board member and a reviewer for many international journals.Dr. Muskan GargDr. Muskan Garg is working as a Postdoctoral Research Fellow at Mayo Clinic, Rochester, Minnesota. Prior to Mayo Clinic, she served as Postdoctoral Research Associate at University of Florida. Prior to UFL, she served as Assistant Professor at Computer science and engineering department at Thapar Institute of Engineering & Technology, India. She has completed her masters and doctorate from Panjab University, Chandigarh. Her previous research work is associated with applied network science in the field of Information Retrieval and Natural Language Processing for social media data. In general, she is interested in exploring the domain of causal analysis, semantic relations, and ethics over social media data; and mental health analysis on social media.

    Innehållsförteckning

    • Chapter 1Federated Learning for Natural Language ProcessingSergei Ternovykh, Anastasia NikiforovaChapter 2Utility-Based Recommendation System For Large Datasets Using EAHUIMVandna DahiyaChapter 3Anaphora Resolution: A Complete View with Case StudyKalpana B. Khandale, C. Namrata MahenderChapter 4A Review of the Approaches to Neural Machine Translation Preetpal Kaur Buttar, Manoj Kumar SachanChapter 5Evolution of Question-Answering System from Information Retrieval: A Scientific Time Travel from BanglaBangla Arijit Das, Diganta SahaChapter 6Recent Advances in Textual Code Switching Sergei Ternovykh, Anastasia NikiforovaChapter 7Legal Document Summarization using Hybrid model Deekshitha, Nandhini KChapter 8Concept Network using Network Text Analysis Md Masum Billah, Dipanita Saha, Farzana Bhuiyan, Mohammed KaosarChapter 9Question Answering Versus Machine Reading Comprehension: Neural Machine Reading Comprehension using Transformer Models NISHA VARGHESE, M. PUNITHAVALLIChapter 10Online Subjective Question Answering System Necessity of Education System Madhav A. Kankhar, Bharat A. Shelke, C. Namrata Mahender
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