The abundance of data on the internet makes analysis a must. Aspect-based sentiment helps extract valuable information from textual data. Because limited Arabic resources, this paper enriches dataset landscape by creating AraMA, first and largest multi-aspect corpus. AraMA comprises 10,750 Google Maps reviews for restaurants in Riyadh, Saudi Arabia. It covers four aspect categories—food, enviro...

Weight imprinting (WI) was recently introduced as a way to perform gradient descent-free few-shot learning. Due this, WI almost immediately adapted for performing learning on embedded neural network accelerators that do not support back-propagation, e.g., edge tensor processing units. However, suffers from many limitations, it cannot handle novel categories with multimodal distributions and spe...

After introducing a noncommutative counterpart of commutative algebraic geometry based on monoidal categories of quasi-coherent sheaves we show that various constructions in noncommutative geometry (e.g. Morita equivalences, Hopf-Galois extensions) can be given geometric meaning extending their geometric interpretations in the commutative case. On the other hand, we show that some constructions...

Learning. Abstract: Document categorization is a technique where the category of a document is determined. In this paper three well-known supervised learning techniques which are Support Vector Machine(SVM), Naïve Bayes(NB) and Stochastic Gradient Descent(SGD) compared for Bengali document categorization. Besides classifier, classification also depends on how feature is selected from dataset. F...

After introducing a noncommutative counterpart of commutative algebraic geometry based on monoidal categories of quasi-coherent sheaves we show that various constructions in noncommutative geometry (e.g. Morita equivalences, Hopf-Galois extensions) can be given geometric meaning extending their geometric interpretations in the commutative case. On the other hand, we show that some constructions...