书目名称 | Sentiment Analysis and its Application in Educational Data Mining | 编辑 | Soni Sweta | 视频video | | 概述 | Discusses fundamental concepts of sentiment analysis, its techniques, and its practical applications.Explores applications of sentiment analysis in educational data mining across multiple domains.Addr | 丛书名称 | SpringerBriefs in Applied Sciences and Technology | 图书封面 |  | 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 d | 出版日期 | Book 2024 | 关键词 | Sentiment Analysis; Opinion Mining; Deep Learning; Text Mining; Natural Language Processing; Educational | 版次 | 1 | doi | https://doi.org/10.1007/978-981-97-2474-1 | isbn_softcover | 978-981-97-2473-4 | isbn_ebook | 978-981-97-2474-1Series ISSN 2191-530X Series E-ISSN 2191-5318 | issn_series | 2191-530X | copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024 |
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