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In this world full of uncertainty, where the fabric of existence weavespatterns of complexity, multifractal emerges as beacons of insight,illuminating them. As we delve into the realm of text mining that underpinsvarious natural language processing applications and powers a range ofintelligent services, we recognize that behind the veil of text lies amanifestation of human thought and cognition, intricately intertwined with thecomplexities. Building upon the foundation of perceiving text as a complexsystem, this study embarks on a journey to unravel the hidden treasures within,armed with the proposed multifractal method that deciphers the multifractalattributes embedded within the text landscape. This endeavor culminates in thebirth of our novel model, which also harnesses the power of the proposedactivation function to facilitate nonlinear information transmission within itsneural network architecture. The success on experiments anchored in real-worldtechnical reports covering the extraction of technical term and classificationof hazard events, stands as a testament to our endeavors. This research venturenot only expands our understanding of text mining but also opens new horizonsfor knowledge discovery across various domains.

A New Multifractal-based Deep Learning Model for Text Mining