Receptiviti understands peoples' emotions, personalities, motivations, psychology, and the topics they mention in language, and translates them into simple, easy-to-understand, highly actionable insights

Built on a foundation of decades of research by renowned experts in language, psychology, machine learning, and data science, Receptiviti is the world's most comprehensive language analytics platform.

30+

YEARS OF RESEARCH

17,000+

RESEARCH CITATIONS

1,200+

Unlimited

USER COMMUNITY

APPLICATIONS

​Predict behaviour and understand the psychology of people who matter to you and your business

 

The Receptiviti platform uncovers the psychology behind human language. Our pre-trained and custom-built models are powered by proprietary language psychology science, and make it easy for you to uncover insights about people that power your predictive models, inform your decisions, and optimize your interpersonal interactions.

Custom Solutions

We'll help you design and deploy the solution solves your business challenge.

 

Our services organization offers unparalleled expertise in language psychology, natural language processing, and machine learning. We work with customers to solve complex problems by creating and deploying custom models, predictive engines, and by delivering complete end-to-end solutions.

Whether it's a one-off analysis or a complex solution requiring real-time prediction, we're here to solve your most pressing needs. 

Learn more about custom solutions

 

 

Self-Service - the Receptiviti API

The Receptiviti API is deigned for product managers, software developers, and data scientists who need to understand the emotions, psychology and personalities of their users, customers, and the people who are important to their business. Use the Receptiviti API to quickly design, prototype, and integrate powerful insights into your business applications.

Learn more about the Receptiviti API

Healthcare Workers Wellness Index (Live)

We're tracking the impact of COVID on the mental health of frontline healthcare workers every day. See it now.

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The Zoom Call Emotion Analyzer makes is easy to learn about the emotions, personalities, and rapport between participants on your Zoom calls. Quickly understand if a participant is angry, fearful, or delighted, which participants have the most rapport, and who has the most clout, who is being authentic, and more.

Zoom Call Emotion Analyzer (prototype)

Analyze your Zoom transcript and learn about the emotions and dynamics of the call. Try it now!

Get inspired​ - examples of recent projects:

Receptiviti's Healthcare Workers Wellness Index measures the daily emotional and psychological health of doctors and nurses. It continuously analyzes daily submissions and comments by thousands of self-identified doctors and nurses in their posts on Reddit in medical subreddits (r/medicine, r/nurses, r/emergencymedicine), beginning June 1st, 2019 through to the current day. It evaluates key emotions and psychological variables that impact their wellbeing and their capacity to provide care.

Industry Use Case Examples

Receptiviti works with organizations globally to solve a broad variety of mission-critical business challenges. Learn about Receptiviti solutions for your industry:

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Extract insights about your customers' and users' psychology to optimize product design, relevance, product experience, and product success.

PRODUCT

DEVELOPMENT

Extract insights about your customers' and users' psychology to optimize product design, relevance, product experience, and product success.

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Augment demographic and life-stage marketing with targeted and personalized offers based on a deep understanding of each customer’s unique psychology.

INSURANCE

Augment demographic and life-stage marketing with targeted and personalized offers based on a deep understanding of each customer’s unique psychology.

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Enhance call centre customer experience by measuring agent empathy, authenticity, and EQ.

CALL CENTRE

Enhance call centre customer experience by measuring agent empathy, authenticity, and EQ.

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Extract insights about your customers' and users' psychology to optimize product design, relevance, product experience, and product success.

ONLINE

COMMUNITIES

Extract insights about your customers' and users' psychology to optimize product design, relevance, product experience, and product success.

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Extract real-time psychological insight into stress levels, risk-taking propensities, influence hierarchies, and attrition risk

ENTERPRISE

RISK

Extract real-time psychological insight into stress levels, risk-taking propensities, influence hierarchies, and attrition risk

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Gain powerful insights into the characteristics, personalities, and traits of candidates, and reduce time and cost per hire.

RECRUITMENT

Gain powerful insights into the characteristics, personalities, and traits of candidates, and reduce time and cost per hire.

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Extract insights about customer psychology from their language to improve product design, relevance, product experience, and marketing effectiveness.

MARKET

RESEARCH

Extract insights about customer psychology from their language to improve product design, relevance, product experience, and marketing effectiveness.

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From measuring mental  health to improving  

communication and understanding, Receptiviti provides insights that improve outcomes.

LIFE SCIENCES

From measuring mental health to improving  communication and understanding, Receptiviti provides insights that improve outcomes.

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Build models that correlate executive mindsets, authenticity, deception and risk-taking propensity with company performance

FINANCE

Build models that correlate executive mindsets, authenticity, deception and risk-taking propensity with company performance

Resources and Case Studies

Explore some examples of our research, media, and presentations.

COVID-19 Cognitive, Social and Emotional

CASE STUDY:

COVID-19 Cognitive, Social and Emotional Impact on the Workforce

This study aggregates the findings of research into how COVID-19 has impacted the cognitive abilities, social and emotional health and productivity of the workforce. Findings highlight critical issues that can help organizations as they prepare for the post- COVID-19 world of work.

Insurance Based Lie Detection - Enhancin

LIWC-BASED RESEARCH

Insurance Claim Lie Detection

Twenty percent of policyholders surveyed admitted they would consider submitting an exaggerated or fabricated insurance claim in the future (Association of British Insurers, 2009). This study explores applications of the Verifiability Approach for verbal lie detection.

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CASE STUDY:

Public Concerns, and Fears Related to Canada’s COVID Relief Programs

In Fall 2020, the Canadian Ministry of Finance engaged Receptiviti to gain an in-depth understanding of public perception of the CERB program, with the findings to be used to inform future program policy, communication strategy, and risk management.

Receptiviti Keynote at Collision Confere

Collision Conference

Receptiviti Keynote at Collision Conference 2019

For decades, business leaders have had a culture blind spot that costs them trillions of dollars every year. 
When a business can’t measure culture bad things can happen.

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TEDTalk

The Secret Life of Pronouns: James W. Pennebaker at TEDx Austin

The words we use have tremendous ability to illuminate who we are and how we're feeling. Watch James' TEDTalk and learn more about the power of words.

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LIWC-BASED RESEARCH

Is a cover letter still needed? Using LIWC to predict application success

This study investigated whether LIWC is able to predict application success. 581 cover letters, CVs and complete application documents were analysed. Both cover letters and CVs were found to contain predictive information regarding application success.

When Small Words Foretell Academic Succe

LIWC-BASED RESEARCH

When Small Words Foretell Academic Success: The Case of College Admissions  Essays

This study of over 50,000 college admissions essays from more than 25,000 entering students found higher grades were associated with greater article and prepositions use, and lower grades were associated with greater use of auxiliary verbs, pronouns, adverbs, conjunctions, and negations.

A Personality Mining System for Automate

LIWC-BASED RESEARCH

A Personality Mining System for Automated Applicant Ranking in Online Recruitment Systems

This study investigated whether LIWC is able to predict application success. 581 cover letters, CVs and complete application documents were analysed. Both cover letters and CVs were found to contain predictive information regarding application success.

From the Blog