Abstract: Emotion detection from text is a critical task in natural language processing, yet most existing models are limited by language and cultural bias, often relying on translation or large ...
Abstract: Emotion detection in text is one of the major tasks in NLP that might have tremendous applications in sentiment analysis, human-computer interaction, and mental health diagnosis. This study ...
The takeaway: The new system positions YouTube among the first major online platforms to embed large-scale identity-protection capabilities directly into its content moderation tools. The feature ...
Speech emotion recognition base on Long Short-Term Model (LSTM), implemented in tensorflow. The system improve the accuracy of emotion recognition while maintaining lightweight through feature ...
Introduction: Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI ...
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