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Titlebook: Sentiment Analysis and its Application in Educational Data Mining; Soni Sweta Book 2024 The Author(s), under exclusive license to Springer

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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Titlebook: Sentiment Analysis and its Application in Educational Data Mining;  Soni Sweta Book 2024 The Author(s), under exclusive license to Springer
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
doihttps://doi.org/10.1007/978-981-97-2474-1
isbn_softcover978-981-97-2473-4
isbn_ebook978-981-97-2474-1Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
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Application of Sentiment Analysis in Diverse Domains,business, finance, marketing, healthcare, education and many more. Being futuristic concept, its benefits apply across the various domains with same intensity. The capturing of learner’s feeling expressed in textual/audio/video/social media data and its understanding are the most important factors.
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Sentiment Tech: Exploring the Tools Shaping Emotional Analysis,earchers, administrator, educators, and other stakeholders may use this capability to extract significant insights from large datasets. It identifies the key methodologies, models, and algorithms applied in the analysis of sentiments expressed. It is laden with technology-driven insights. It explore
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2191-530X xplores 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 d978-981-97-2473-4978-981-97-2474-1Series ISSN 2191-530X Series E-ISSN 2191-5318
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