The comparison result for the emotion recognition on ml-20m dataset.

<p>The comparison result for the emotion recognition on ml-20m dataset.</p>

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Bibliographic Details
Main Author:	Ting Ruan (546739) (author)
Other Authors:	Qian Liu (135614) (author), Yanxizi Chang (21387527) (author)
Published:	2025
Subjects:	Biotechnology Sociology Science Policy Biological Sciences not elsewhere classified users &# 8217 traditional single rnn textual data generated scholarly paper introduces proprietary datasets substantiate online comment sections novel technical tool empirical results obtained contemporary digital era integrating user behavioral elevating user satisfaction comprehending user behaviors information dissemination strategies framework extracts information distinct attention layers centric emotional perspective user behavior analysis ps substantially enhances feature layer information digital media platforms amalgamating user behavioral feature layer user demand social media sentiment analysis innovative framework content dissemination attention mechanism platforms harbors multimedia platforms emotional insights emotional features emotional attributes xlink "> thereby augmenting research contributes publicly available ps affects potent methodology lstm method lstm approaches copious volume also furnishes
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