Powerful insights into mental health and wellbeing

Based on thousands of research studies into the relationship between language and wellbeing.

Validated, research-based insights

Receptiviti's Mental Health Insights identify many of the language-based psychological indicators associated with mental health and distress-related concerns such as depression, stress, and social anxiety.


Our models have been constructed and extensively validated by panels of psychologists and have been cited in over 19,000 research studies, of which over 6,500 focus on understanding the linguistic fingerprints of mental health, coping, disease, recovery, and treatment delivery. Here is a small sample:

Natural Language Processing Reveals Vulnerable Mental Health.png

Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19

The authors uncovered patterns of how specific mental health problems manifest in language, identified at-risk users, revealed the distribution of concerns across Reddit, and demonstrated that textual analysis is sensitive to uncover mental health complaints as they appear in real time.

Read the full paper

You Sound So Down - Capturing Depressed Affect Through Depressed Language.png

You Sound So Down: Capturing Depressed Affect Through Depressed Language

Does depressed affect have a voice? The ability to quantify and measure these subtle cues in text or speech samples could be an invaluable tool for psychologists in a range of disciplines. 

Read the full paper

Who Talks_ The Social Psychology of Illness Support Groups.png

Who Talks? The Social Psychology of Illness Support Groups

The experience of illness is a profoundly social one. Suffering elicits emotions and hence the desire to talk to others.

Read the full paper

Linguistic Analysis of Schizophrenia in Reddit Posts.png

Linguistic Analysis of Schizophrenia in Reddit Posts


Linguistic abnormalities are a hallmark of Schizophrenia. In this paper we leverage the vast amount of data available from social media and use statistical and machine learning approaches to study  Schizophrenia's linguistic characteristics 

Read the full paper

Supporting the Delivery of Online Mental Health Services

Receptiviti helps online mental health providers enhance their diagnostic capabilities, reduce patient attrition, and improve patient outcomes. Our therapy-oriented indicators can be used to measure the therapeutic alliance between provider and patient, monitor provider empathy, identify signals of comorbidities, and track treatment progression and success.

Live Demonstration:

To demonstrate Receptiviti's mental health measurement capabilities, we're tracking the daily emotional and psychological health of thousands of doctors and nurses by analyzing their posts on Reddit. 

Mental Health.png

Get started with Mental Health insights

Register and get a 10-day free API trial

Get to know the people behind your language data. 

Analyze up to 250,000 words on us.