A microservices platform integrates endpoint telemetry with BERT-based NLP models for real-time detection and alerting on security threats and hate speech, reporting 87% average accuracy on text classification.
Assessing the Impact of Contextual Information in Hate Speech Detection
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A microservices-based endpoint monitoring platform with predictive NLP models for real-time security and hate-speech risk alerting
A microservices platform integrates endpoint telemetry with BERT-based NLP models for real-time detection and alerting on security threats and hate speech, reporting 87% average accuracy on text classification.