A joint-training topic model for social media texts

Abstract The burgeoning significance of topic mining for social media text has intensified with the proliferation of social media platforms. Nevertheless, the brevity and discreteness of social media text pose significant challenges to conventional topic models, which often struggle to perform well...

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Bibliographic Details
Main Authors: Simeng Qin, Mingli Zhang, Haiju Hu, Gang Li
Format: Article
Language:English
Published: Springer Nature 2025-03-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-025-04551-2
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