Adaptable NLP: A Case Study in Mental Health

The latest technology in NLP has brought down the cost and barriers to adapting NLP to perform with accuracy in specific domains such as healthcare, finance, legal, and intelligence. This session will show the case where NLP has been adapted for automatically diagnosing mental-health disorders by analyzing written texts and speech transcriptions. 

Learn about the latest developments in the field, with specific examples of effective computational approaches involving NLP. With these technologies, clinicians can detect symptoms of mental health disorders, and improve treatments by building a better therapeutic alliance with patients. We will conclude by looking at some experimental results and how future advancements may unfold.