Sentiment Analysis and Its Application in Educational Data Mining

Sweta, Soni

Sentiment Analysis and Its Application in Educational Data Mining
  • 出版商: Springer
  • 出版日期: 2024-04-23
  • 售價: $2,370
  • 貴賓價: 9.5 折 $2,252
  • 語言: 英文
  • 頁數: 97
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819724732
  • ISBN-13: 9789819724734
  • 相關分類: Data-mining

    • 海外代購書籍(需單獨結帳)

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商品描述

The book delves into the fundamental concepts of sentiment analysis, its techniques, and its practical applications in the context of educational data. The book begins by introducing the concept of sentiment analysis and its relevance in educational settings. It provides a thorough overview of the various techniques used for sentiment analysis, including natural language processing, machine learning, and deep learning algorithms. The subsequent chapters explore applications of sentiment analysis in educational data mining across multiple domains. The book illustrates how sentiment analysis can be employed to analyze student feedback and sentiment patterns, enabling educators to gain valuable insights into student engagement, motivation, and satisfaction. It also examines how sentiment analysis can be used to identify and address students' emotional states, such as stress, boredom, or confusion, leading to more personalized and effective interventions. Furthermore, the book explores the integration of sentiment analysis with other educational data mining techniques, such as clustering, classification, and predictive modeling. It showcases real-world case studies and examples that demonstrate how sentiment analysis can be combined with these approaches to improve educational decision-making, curriculum design, and adaptive learning systems.

商品描述(中文翻譯)

這本書深入探討情感分析的基本概念、技術以及在教育數據背景下的實際應用。書籍首先介紹了情感分析的概念及其在教育環境中的相關性。它詳細概述了用於情感分析的各種技術，包括自然語言處理、機器學習和深度學習算法。接下來的章節探討了情感分析在教育數據挖掘中的多個領域的應用。本書說明了情感分析如何應用於分析學生反饋和情感模式，使教育工作者能夠獲得有價值的洞察力，了解學生的參與度、動機和滿意度。它還探討了情感分析如何用於識別和解決學生的情緒狀態，例如壓力、無聊或困惑，從而實現更個性化和有效的干預。此外，本書還探討了情感分析與其他教育數據挖掘技術（如聚類、分類和預測建模）的整合。它展示了真實案例和示例，演示了如何將情感分析與這些方法結合，以改進教育決策、課程設計和自適應學習系統。

作者簡介

Dr. Soni Sweta, Ph.D. in Computer Science and Engineering from BIT, Mesra, Ranchi, is presently working as an assistant professor in the Department of Computer Science and Engineering at Mukesh Patel School of Technology, Management, and Engineering, NMIMS, Mumbai Campus, Mumbai, Maharashtra. She received her Master of Technology degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal. She is presently guiding many Ph.D., M.Tech, M.C.A, and B.Tech. Scholars. Previously, she had guided many M.Tech., M.C.A, B.C.A, and B.Tech. students in their dissertation and final project work. Her present areas of research are artificial intelligence, natural language processing, soft computing, data mining, machine learning, data science, etc. Being a member of IEEE and life member of CSI(India), she is associated with few reputed journals as a reviewer and member of editorial board. She has acted as a technical committee member in many reputed conferences so far.

作者簡介(中文翻譯)

Dr. Soni Sweta，印度比特大學（BIT, Mesra, Ranchi）計算機科學與工程博士，目前在NMIMS孟買校區的Mukesh Patel技術、管理和工程學院的計算機科學與工程系擔任助理教授。她在Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal獲得碩士學位。她目前指導許多博士、碩士、M.C.A和學士學位的學者。在此之前，她曾指導許多碩士、M.C.A、B.C.A和學士學位的學生完成他們的論文和最終項目。她目前的研究領域包括人工智能、自然語言處理、軟計算、數據挖掘、機器學習、數據科學等。作為IEEE的成員和CSI（印度）的終身會員，她是幾本知名期刊的評審人和編輯委員會成員。到目前為止，她曾擔任過許多知名會議的技術委員會成員。

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