Literature review shows advances in sarcasm detection using audio, suggesting deeper integration with textual analysis for improved human-computer interaction.
Key Points
Sarcasm detection methods leverage deep learning to analyze vocal features and intonation, enhancing accuracy.
The review encompasses 58 articles on machine learning innovations and their tie to cultural and linguistic variations.
Analysis focused on methods combining audio with textual analysis, indicating a need for multimodal systems.
The research highlights the potential of improved sarcasm detection in enhancing communication technologies.