Titlebook: Sentimental Analysis and Deep Learning; Proceedings of ICSAD Subarna Shakya,Valentina Emilia Balas,Ke-Lin Du Conference proceedings 2022 Th

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2194-5357 earning emerges as the revolutionary paradigm with its extensive data-driven representation learning architectures. This book discusses all theoretical aspects of sentimental analysis, deep learning and related978-981-16-5156-4978-981-16-5157-1Series ISSN 2194-5357 Series E-ISSN 2194-5365

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SentiSeries: A Trilogy of Customer Reviews, Sentiment Analysis and Time Series,search deepens the knowledge of online retailing consumer behavior and yields valuable strategic lessons for optimizing online retailing service deliverables. Finally, an in-depth investigation establishes first in the domain metrics such as sentiment velocity and acceleration for sentiment monitori

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An Efficient Deep Learning Approach for Detecting Pneumonia Using the Convolutional Neural Network,s with Pneumonia automatically, which requires less time and human effort. This paper has suggested a modified deep learning approach adopting the convolutional neural network (CNN) model to train sample chest X-ray images and extract features from them to predict the presence of Pneumonia. Our prop

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QMCDS: Quantum Memory for Cloud Data Storage,tion after performing a detailed analysis on the difficulties and limitations in cloud storage. The proposed solution is based on Qubits and the same is also discussed here. The proposed research work is an effort to pave way towards developing solutions by keeping quantum computing at center in the

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