Natural Language Processing and Information Retrieval: Principles and Applications
暫譯: 自然語言處理與資訊檢索：原則與應用
Garg, Muskan, Kumar, Sandeep, Khader Jilani Saudagar, Abdul
- 出版商: CRC
- 出版日期: 2023-11-28
- 售價: $5,230
- 貴賓價: 9.5 折 $4,969
- 語言: 英文
- 頁數: 252
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032154926
- ISBN-13: 9781032154923
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相關分類:
Machine Learning、Text-mining
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
這本書將自然語言處理和資訊檢索的基本概念及最新進展整合於單一卷冊中。它將成為電機工程、電子工程、計算機工程及資訊科技等跨學科領域的研究生和學術研究者的理想參考書籍。本書強調現有的問題領域及自然語言處理和資訊檢索可能的新方向。它討論了資訊檢索的重要性，並結合機器學習、深度學習和詞嵌入技術，支持對即時數據的快速評估。內容涵蓋重要主題，包括謠言檢測技術、基於圖形的情感分析、社交媒體數據分析及語言獨立的文本挖掘。
本書：
- 涵蓋資訊檢索在不同領域的各個方面，包括醫療保健、數據分析和機器翻譯。
- 討論從文本和/或多模態數據中提取語言獨立和領域獨立資訊的最新進展。
- 解釋包括決策制定、隨機漫步、知識圖譜、詞嵌入、n-grams 和頻繁模式挖掘等模型。
- 提供機器學習、深度學習和詞嵌入在自然語言處理中的整合方法。
- 涵蓋最新的自然語言處理和社交媒體（如 Twitter）資訊檢索的數據集。
本書主要為電機工程、電子工程、計算機工程及資訊科技等跨學科領域的研究生和學術研究者所撰寫。
作者簡介
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 Saudagar
Abdul 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 Garg
Dr. 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.
作者簡介(中文翻譯)
Dr. Sandeep Kumar目前是班加羅爾基督大學（CHRIST，獲得認可的大學）的教授。他最近在沙烏地阿拉伯利雅德的伊瑪目穆罕默德伊本沙烏德伊斯蘭大學完成了有關情感分析的博士後研究。他是Springer的人本計算與資訊科學（Human-centric Computing and Information Sciences, HCIS）期刊的副編輯。他在各種國際期刊和會議上發表了超過八十篇研究論文，並參加了多個國內和國際會議及研討會。他在計算機科學領域編著或編輯了七本書。此外，他擔任國際通訊與計算技術會議（International Conference on Communication and Computational Technologies, ICCCT 2021、22和23）及智能系統大會（Congress on Intelligent Systems, CIS 2022和2023）的總主席。他的研究興趣包括自然啟發算法、群體智慧、軟計算和計算智能。
Dr. Abdul Khader Jilani Saudagar
Abdul Khader Jilani Saudagar於2001年、2006年和2010年分別獲得計算機科學與工程的工程學士（B.E.）、技術碩士（M. Tech.）和哲學博士（Ph.D.）學位。他目前在沙烏地阿拉伯利雅德的伊瑪目穆罕默德伊本沙烏德伊斯蘭大學（IMSIU）計算機與資訊科學學院（CCIS）擔任副教授。他也是智能互動系統研究小組（Intelligent Interactive Systems Research Group, IISRG）的負責人。他在本科（UG）和研究生（PG）層面擁有十年的研究和教學經驗。他曾擔任來自KACST和科學研究院（IMSIU）資助項目的首席研究員，並作為名為「使用現代技術預測傳染病的出現及檢測疫情爆發」的項目的首席研究員，該項目由沙烏地阿拉伯教育部資助。他在國際期刊和會議上發表了多篇研究論文。他的研究興趣包括人工影像處理、資訊技術、數據庫以及網頁和移動應用開發。他是多個專業機構的成員，如ACM、IACSIT、IAENG和ISTE。他擔任多個國際期刊的編輯委員會成員和審稿人。
Dr. Muskan Garg
Dr. Muskan Garg目前在明尼蘇達州羅切斯特的梅奧診所（Mayo Clinic）擔任博士後研究員。在加入梅奧診所之前，她曾在佛羅里達大學擔任博士後研究助理。在佛羅里達大學之前，她在印度的塔帕爾工程與技術學院（Thapar Institute of Engineering & Technology）計算機科學與工程系擔任助理教授。她在昌迪加爾的旁遮普大學完成了碩士和博士學位。她之前的研究工作與社交媒體數據的信息檢索和自然語言處理領域的應用網絡科學相關。一般來說，她對探索因果分析、語義關係以及社交媒體數據的倫理問題感興趣；以及社交媒體上的心理健康分析。
