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Titlebook: Advances in Applications of Data-Driven Computing; Jagdish Chand Bansal,Lance C. C. Fung,Ankush Ghosh Book 2021 The Editor(s) (if applicab

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41#
發(fā)表于 2025-3-28 18:28:37 | 只看該作者
Andrea Maria Dederichs,Michael Florians the class label of an unknown object based on the majority of the computed class labels of its . nearest neighbors. The prediction accuracy of the .-nn classifier depends on the user input value of . and the distance measure used to compute the nearest neighbors from the training objects. If we us
42#
發(fā)表于 2025-3-28 18:54:38 | 只看該作者
https://doi.org/10.1007/978-3-322-80848-6uman being. Multiple researchers did their researches in the area of Natural Language Processing (NLP) and specially sentiment analysis. But there is a way to study it more efficiently, if the emotion drafted in the sentence can be identified, and also, the new symbols like emojis are taken into con
43#
發(fā)表于 2025-3-29 02:36:30 | 只看該作者
Andrea Maria Dederichs,Michael Florian language processing is a massive domain that enables in finding solutions for many day-to-day tasks, and sentiment analysis falls under this domain. A typical sentiment analysis task can be described as a process of classifying opinions expressed in a text as positive, negative, or neutral. This ch
44#
發(fā)表于 2025-3-29 04:02:39 | 只看該作者
Andrea Maria Dederichs,Michael Floriandical records of each person, however, contributes to an increase in human resources and security threats. To solve these challenges, healthcare IoT increases the quality of patient care and lowers costs by efficiently allocating medical services. Via blockchain technology, we have a safety mechanis
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發(fā)表于 2025-3-29 11:06:36 | 只看該作者
46#
發(fā)表于 2025-3-29 13:39:37 | 只看該作者
Andrea Maria Dederichs,Michael Florianhe next stage of a database similar to bigdata (sentiments) preprocessing along with it cleanses to deal with noise as well as the missing data in many reviews. The frequent pattern growth of associating rule mining, part of speech (POS), information on interaction, and sentiwordnet2 is used to dete
47#
發(fā)表于 2025-3-29 17:32:28 | 只看該作者
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