May 14, 2022 · Specifically, EPFM makes use of a feedback mechanism based on emerging events detection to improve the performance of event prediction.
Specifically, EPFM makes use of a feedback mechanism based on emerging events detection to improve the performance of event prediction.
Social Media Event Prediction using DNN with Feedback Mechanism
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Oct 22, 2024 · Hence, in this paper we develop a novel DNN-based framework (hereafter referred to as event prediction with feedback mechanism – EPFM .
Online social networks (OSNs) are a rich source of information, and the data (including user-generated content) can be mined to facilitate real-world event ...
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Using a supervised classifier, the social media data is gathered, classified as relevant or irrelevant, and then clustering is used. This strategy is frequently.
An inventive content summarization framework has been built, which combines RNN with LSTM and encoder-decoder structure and outperforms all the existing ...
The main purpose of this paper is discussing the application of machine learning techniques to predict and analyze dynamic graph features in online social ...
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Dec 12, 2021 · Phillips et al. [97] provided a literature review that examines the problems and techniques for predictive analysis using social media data.
Missing: DNN Feedback
This paper is dedicated to providing a systematic and comprehensive overview of deep learning technologies for societal event predictions. We focus on two ...