Psychology

Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing

C. Agurto, G. A. Cecchi, et al.

Discover groundbreaking research conducted by Carla Agurto and colleagues, utilizing automated speech analysis to unveil objective markers of mental states influenced by MDMA and oxytocin. With impressive classification accuracies of up to 92%, this study highlights the potential of speech analysis as a tool for understanding intoxication-related mental states.

00:00

Playback language: English

Related Publications

Explore these studies to deepen your understanding of the subject.

Medicine and Health

Natural language processing system for rapid detection and intervention of mental health crisis chat messages

A. Swaminathan, I. López, et al.

Medicine and Health

Natural language processing analysis of the theories of people with multiple sclerosis about causes of their disease

C. Haag, N. Steinemann, et al.

Medicine and Health

Natural language processing of multi-hospital electronic health records for public health surveillance of suicidality

R. Bey, A. Cohen, et al.

Medicine and Health

A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects

A. Salomon, E. Gazit, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny