Datasets and experimental settings.

<div><p>The convergence of Metaverse technologies, Internet of Things (IoT), and consumer electronics has given rise to an imperative need for scalable, real-time sentiment analysis that can process heterogeneous, high-velocity media flows. The traditional approaches tend to fail in pres...

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Bibliographic Details
Main Author:	Hongtao Wang (570131) (author)
Other Authors:	Shan Wang (120085) (author), Yijun Lu (5154233) (author), Nikolai Ivanovich Vatin (12005927) (author), Jiandong Huang (1462300) (author)
Published:	2025
Subjects:	Biological Sciences not elsewhere classified Information Systems not elsewhere classified velocity media flows traditional approaches tend led bidirectional encoding entropy loss minimization average response latency enabled consumer devices based generative modeling time sentiment analysis optimized model training sentiment analysis based training hybrid model consumer electronics based framework xlink "> work proposes twitter sentiment140 temporal dynamism process heterogeneous predictive thresholding platform settings overall bg obtaining 94 metaverse technologies imperative need given rise feedback mechanism experimental analyses deep learning blends bert aware comprehending architecture include adam algorithm 250 ms
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Datasets and experimental settings.

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