TWITTER HATE SPEECH DETECTION: A SYSTEMATIC REVIEW OF METHODS, TAXONOMY ANALYSIS, CHALLENGES, AND OPPORTUNITIES

Twitter Hate Speech Detection: A Systematic Review of Methods, Taxonomy Analysis, Challenges, and Opportunities

Hate speech detection has substantially increased interest among researchers in the domain of natural language processing (NLP) and text mining.The number of studies on this topic has been growing dramatically.Thus, the purpose of this analysis is to develop a resource that consists of an outline of the approaches, methods, and techniques employed

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An Adaptive Orientation Estimation Method for Magnetic and Inertial Sensors in the Presence of Magnetic Disturbances

Magnetic and inertial sensors have been widely used to estimate the orientation of human segments due to their low cost, Facial Cleansers compact size and light weight.However, the accuracy of the estimated orientation is easily affected by external factors, especially when the sensor is used in an environment with magnetic disturbances.In this pap

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Scaling of causal neural avalanches in a neutral model

Neural avalanches are collective firings of neurons that exhibit emergent scale-free behavior.Understanding the nature and distribution of these avalanches is an important element in understanding how the brain functions.We study a model of neural avalanches for which the dynamics are governed by neutral theory.The neural avalanches are defined usi

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