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
30+
YEARS OF RESEARCH
17,000+
RESEARCH CITATIONS
1,200+
Unlimited
USER COMMUNITY
APPLICATIONS
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.
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.
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.
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:
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
