Sentiment Analysis and its Application in Educational Data Mining by Soni Sweta

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Summary

The book delves into the fundamental concepts of sentiment analysis, its techniques, and its practical applications in the context of educational data.

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Sentiment Analysis and its Application in Educational Data Mining by Soni Sweta

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.

Dr. Soni Sweta received her Master of Technology degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, in 2011. She successfully completed her Ph.D. degree in the area of Soft Computing and Data Mining in Computer Science & Engineering from Birla Institute of Technology Mesra, Ranchi, in 2018. She has published more than 12 research papers in high-impact peer-reviewed international journals, 2 papers in national journals and 4 book chapters. Her research areas are soft computing, artificial intelligence, machine learning, data science and data mining. From 2004 to 2010, she has worked as Assistant Professor and Visiting Faculty in Computer Science & Engineering departments of different engineering colleges including MLB College; SNGPG College; Scope Engineering College, Bhopal; NSIT Patna; and CIPET Lucknow. She is presently working as Assistant Professor in Amity University Jharkhand, Ranchi, India.
SKU Unavailable
ISBN 13 9789819724734
ISBN 10 9819724732
Title Sentiment Analysis and its Application in Educational Data Mining
Author Soni Sweta
Series Springerbriefs In Applied Sciences And Technology Ser
Condition Unavailable
Binding Type Paperback
Publisher Springer Verlag, Singapore
Year published 2024-04-23
Number of pages 97
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.