Enhancing public opinion monitoring for social hot events with a time series neural network-based logic map

A method for constructing a commercial map of social hotspots based on time-series neural networks is proposed. It explores map construction through three stages: atomic event graph building, fusion, and public opinion analysis. The neural network captures event dynamics and public opinion evolution...

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Bibliographic Details
Main Authors: Hangyin Mao, Ying Jiang, Xiaohan Lai, Yehua Zhang, Xiaoxiao Huang
Format: Article
Language:English
Published: SAGE Publishing 2025-07-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/00202940241284017
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