Sentiment Analysis Unveiled: Techniques, Applications, and Innovations
暫譯: 情感分析揭密：技術、應用與創新

Nandal, Neha, Tanwar, Rohit, Sapra, Varun

Sentiment Analysis Unveiled: Techniques, Applications, and Innovations
  • 出版商: CRC
  • 出版日期: 2025-04-02
  • 售價: $4,400
  • 貴賓價: 9.5 折 $4,180
  • 語言: 英文
  • 頁數: 166
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032824956
  • ISBN-13: 9781032824956

    • 尚未上市，無法訂購

商品描述

This book is a comprehensive exploration into the realm of sentiment analysis. From deciphering customer sentiments for businesses to understanding public opinions on social media or predicting market trends, the applications are multifaceted and impactful.

Sentiment Analysis Unveiled: Techniques, Applications, and Innovations is more than just algorithms and models; it's about unraveling the emotions, opinions, and perceptions encapsulated within the vast sea of textual data. This book explores topics from opinion mining, social media analysis, deep learning, security concerns, and healthcare systems, and it also delves into the ethical and legal implications of sentiment analysis. Through practical examples, case studies, and discussions on cutting-edge innovations, the editors aim is to provide a holistic view that empowers you to navigate this field confidently. It involves the analysis of user-generated content, deciphering sentiments expressed on platforms like Twitter and Facebook, and provides valuable insights into public opinion, brand perception, and emerging trends in the digital landscape.

This book is intended for professionals, researchers, and scientists in the field of artificial intelligence and sentiments analysis; it will serve as a valuable resource for both beginners and experienced professionals in the field.

商品描述(中文翻譯)

這本書是對情感分析領域的全面探索。從解讀企業的顧客情感到理解社交媒體上的公共意見，或預測市場趨勢，其應用多樣且影響深遠。

《情感分析揭密：技術、應用與創新》不僅僅是算法和模型；它關乎於揭示在大量文本數據中所包含的情感、意見和認知。本書探討的主題包括意見挖掘、社交媒體分析、深度學習、安全問題和醫療系統，並深入探討情感分析的倫理和法律影響。透過實際範例、案例研究和對前沿創新的討論，編輯的目標是提供一個全面的視角，使您能夠自信地駕馭這個領域。它涉及用戶生成內容的分析，解讀在 Twitter 和 Facebook 等平台上表達的情感，並提供對公共意見、品牌認知和數位環境中新興趨勢的寶貴見解。

本書旨在為人工智慧和情感分析領域的專業人士、研究人員和科學家提供資源；對於該領域的初學者和經驗豐富的專業人士來說，這將是一本有價值的參考書。

作者簡介

Neha Nandal is an Associate Professor in Computer Science, specializing in Artificial Intelligence, Machine Learning. With over 9 years of academic and research experience, she currently serves as an Associate Professor at Geethanjali College of Engineering and Technology, Hyderabad, India.
She has an impressive publication record, with over 15 research papers published in prestigious SCI and SCOPUS-indexed journals, as well as 15 conference presentations at national and international venues. In recognition of her innovative work, she has also published 4 patents related to AI and machine learning applications in secure computing.
Her scholarly achievements extend to authorship, with a recently published book on ADLMHMS-2020: Application of Deep Learning Methods in Healthcare and Medical Science which serves as a resource for students, researchers, and industry professionals alike.

Rohit Tanwar received his bachelor's degree and PhD degree in Computer Science Engineering from Kurukshetra University. He received his master's degree from the YMCA University of Science and Technology. He has over 10 years of experience in teaching and is currently an Associate Professor in the School of Computer Science at UPES, Dehradun. His areas of research include network security, optimization techniques, human computing, soft computing, cloud computing, and data mining. He also supervises PhD research scholars in the fields of network security, automatic target recognition, and healthcare.

Varun Sapra is presently at the School of Computer Science at the University of Petroleum and Energy Studies. He received his PhD in Computer Science and Engineering from Jagannath University. He has 17 years of combined experience in both industry and academia. Before joining academics, he was in the corporate sector and worked in companies like Cupid Software, WebOpac Applications, and CMA. His research areas include machine learning, decision support systems, case-based reasoning, and self-organizing maps.

作者簡介(中文翻譯)

Neha Nandal 是計算機科學的副教授，專注於人工智慧和機器學習。她擁有超過9年的學術和研究經驗，目前在印度海得拉巴的Geethanjali工程與技術學院擔任副教授。
她的發表紀錄相當出色，已在多本享有盛譽的SCI和SCOPUS索引期刊上發表超過15篇研究論文，並在國內外會議上進行了15次報告。因其創新工作而獲得認可，她還發表了4項與人工智慧和機器學習應用於安全計算相關的專利。
她的學術成就還包括著作，最近出版了一本名為《ADLMHMS-2020: 深度學習方法在醫療和醫學科學中的應用》的書籍，該書為學生、研究人員和業界專業人士提供了資源。

Rohit Tanwar 於Kurukshetra大學獲得計算機科學工程的學士學位和博士學位。他在YMCA科技大學獲得碩士學位。他擁有超過10年的教學經驗，目前在德拉敦的UPES計算機科學學院擔任副教授。他的研究領域包括網絡安全、優化技術、人類計算、軟計算、雲計算和數據挖掘。他還指導網絡安全、自動目標識別和醫療保健領域的博士研究生。

Varun Sapra 目前在石油與能源研究大學的計算機科學學院工作。他在Jagannath大學獲得計算機科學與工程的博士學位。他在產業和學術界擁有17年的綜合經驗。在進入學術界之前，他曾在企業部門工作，曾在Cupid Software、WebOpac Applications和CMA等公司任職。他的研究領域包括機器學習、決策支持系統、基於案例的推理和自組織地圖。

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