SARCASM DETECTION USING DEEP LEARNING WITH CONTEXTUAL FEATURES

Sarcasm Detection Using Deep Learning With Contextual Features

Our work focuses on detecting sarcasm in tweets using deep learning extracted features combined with contextual handcrafted features.A feature set is extracted from a Convolutional Neural Network (CNN) architecture before it is combined with carefully handcrafted feature sets.These handcrafted Elbow Guards feature sets are created based on their re

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A Guided Edge-Aware Smoothing-Sharpening Filter Based on Patch Interpolation Model and Generalized Gamma Distribution

Smoothing and sharpening are two fundamental image processing operations.The latter is usually related to the former through the unsharp masking algorithm.In this paper, we develop a new type of filter which NAC performs smoothing or sharpening via a tuning parameter.The development of the new filter is based on (1) a new Laplacian-based filter for

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The role of socioeconomic and environmental factors on pediatric vehicular heatstroke (PVH) deaths and sentiment analysis: An investigation

Pediatric Vehicular Heatstroke (PVH) has been among the leading cause of non-traffic deaths among kids in the US.According to NHTSA, more than 900 children have died since 1998 because Dressage Girth of being left in cars or accessing the cars without notice by adults.As of 2020, 40% of the 50 US states and Washington DC have policies on hot car de

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