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Found 4 papers, 3 papers with code
Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online
Even though hate speech (HS) online has been an important object of research in the last decade, most HS-related corpora over-simplify the phenomenon of hate by attempting to label user comments as "hate" or "neutral".
HUMAN: Hierarchical Universal Modular ANnotator
A lot of real-world phenomena are complex and cannot be captured by single task annotations.
Towards non-toxic landscapes: Automatic toxic comment detection using DNN
The contribution of this paper is the design of binary classification and regression-based approaches aiming to predict whether a comment is toxic or not.
An IoT Based Framework For Activity Recognition Using Deep Learning Technique
Activity recognition is the ability to identify and recognize the action or goals of the agent.
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