Advances in Social Networking-based Learning: Machine Learning-based User Modelling and Sentiment Analysis (Intelligent Systems Reference Library)

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Posted on 2020-02-23, by books_lover.

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Advances in Social Networking-based Learning: Machine Learning-based User Modelling and Sentiment Analysis (Intelligent Systems Reference Library) This book discusses three important, hot research issues: social networking-based learning, machine learning-based user modeling and sentiment analysis. Although these three technologies have been widely used by researchers around the globe by academic disciplines and by R&D departments in the IT industry, they have not yet been used extensively for the purposes of education. The authors present a novel approach that uses adaptive hypermedia in e-learning models to personalize educational content and learning resources based on the needs and preferences of individual learners. According to reports, in 2018 the vast majority of internet users worldwide are active on social networks, and the global average social network penetration rate as of 2018 is close to half the population. Employing social networking technologies in the field of education allows the latest technological advances to be used to create interactive educational environments where students can learn, collaborate wi
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