  In this world full of uncertainty, where the fabric of existence weaves
patterns of complexity, multifractal emerges as beacons of insight,
illuminating them. As we delve into the realm of text mining that underpins
various natural language processing applications and powers a range of
intelligent services, we recognize that behind the veil of text lies a
manifestation of human thought and cognition, intricately intertwined with the
complexities. Building upon the foundation of perceiving text as a complex
system, this study embarks on a journey to unravel the hidden treasures within,
armed with the proposed multifractal method that deciphers the multifractal
attributes embedded within the text landscape. This endeavor culminates in the
birth of our novel model, which also harnesses the power of the proposed
activation function to facilitate nonlinear information transmission within its
neural network architecture. The success on experiments anchored in real-world
technical reports covering the extraction of technical term and classification
of hazard events, stands as a testament to our endeavors. This research venture
not only expands our understanding of text mining but also opens new horizons
for knowledge discovery across various domains.
