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A Short-Patterning of the Texts Attributed to Al Ghazali: A "Twitter Look" at the Problem
2020
Mathematics
This article presents an novel approach inspired by the modern exploration of short texts' patterning to creations prescribed to the outstanding Islamic jurist, theologian, and mystical thinker Abu Hamid Al Ghazali. We treat the task with the general authorship attribution problematics and employ a Convolutional Neural Network (CNN), intended in combination with a balancing procedure to recognize short, concise templates in manuscripts. The proposed system suggests new attitudes make it
doi:10.3390/math8111937
fatcat:inasxr6jlvfutnwbkyabbbfoki