The NEO Personality Insights API is a powerful tool that uses IBM Watson's natural language processing technology to analyze text and generate detailed personality insights. The API is based on the NEO PI-R (NEO Personality Inventory-Revised) framework, which measures five broad personality traits (Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism) and 30 facets or sub-traits. The API can be used to extract insights from a wide range of text-based data, such as social media posts, emails, and survey responses, making it a versatile tool for a wide range of applications.
One of the NEO Personality Insights API's key applications is understanding customer behavior. By analyzing text-based data from customers, such as social media posts or survey responses, businesses can gain insights into their customers' personalities, preferences, and motivations. This can inform marketing strategies, product development, and customer service efforts.
The API can also be used to improve team dynamics within an organization. By analyzing text-based data from team members, such as emails or meeting notes, managers can gain insights into the personalities, work styles, and communication preferences of their team members. This can be used to inform team-building efforts, assign tasks, and manage conflicts.
In addition, the API can be used for personal development. By analyzing text-based data from an individual, such as a journal or personal blog, individuals can gain insights into their own personalities and identify areas for growth and self-improvement.
Overall, the NEO Personality Insights API is a powerful tool that can be used for a wide range of applications. It's a cost-effective, fast and accurate solution that makes it easy to extract insights from text-based data, providing valuable insights into individuals, customers, and teams.
This API extracts NEO psychological traits/facets from the text written by the person. These include 30 facets of NEO such as assertiveness, morality, artistic interests, and many others
Understanding customer behavior: Businesses can use the NEO Personality Insights API to analyze text-based data from customers, such as social media posts or survey responses, to gain insights into their personalities, preferences, and motivations.
Improving team dynamics: Managers can use the API to analyze text-based data from team members, such as emails or meeting notes, to gain insights into the personalities, work styles, and communication preferences of their team members.
Personal development: Individuals can use the API to analyze text-based data from themselves, such as a journal or personal blog, to gain insights into their own personalities and identify areas for growth and self-improvement.
Recruitment and Hiring: HR professionals can use the API to analyze text-based data from job applicants, such as resumes and cover letters, to gain insights into their personalities and identify candidates that are a good fit for the job and company culture.
Marketing and advertising: Marketers can use the API to analyze text-based data from target audiences, such as social media posts or survey responses, to gain insights into their personalities, preferences, and motivations to create effective marketing campaigns.
Mental health and counseling: Therapists and counselors can use the API to analyze text-based data from clients, such as journal entries or therapy notes, to gain insights into their personalities and identify areas that may need attention or treatment.
Besides API call limitations per month, there are no other limitations.
This endpoint extracts NEO psychological traits/facets from the text written by the person. These include 30 facets of NEO such as assertiveness, morality, artistic interests and many others
Get NEO PI - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
{"text":"I am 30 years old man. I studied physics and currently work as a software engineer. I am married and have a couple of kids. I am so happy! What else I can tell... I am open to new experience and like to chat. I am being nasty sometimes. Hello, how are you feeling today? Ok, tell me about it. How about your throat? Ok. Do you have a cough? Do you feel weak? Let me take your temperature. Hmmm, you have a little fever. It seems that you have the flu. Don’t worry. Take this medicine and rest. Please, come back next week for a check up.","inventories":["neo"],"scoring":{"neo":{"achievement":{"quantile":0.629,"score":0.718,"confidence":0.112,"confidence_text":"low"},"activity level":{"quantile":0.604,"score":0.528,"confidence":0.053,"confidence_text":"low"},"adventurousness":{"quantile":0.644,"score":0.706,"confidence":0.138,"confidence_text":"low"},"altruism":{"quantile":0.54,"score":0.172,"confidence":0.171,"confidence_text":"low"},"anger":{"quantile":0.515,"score":0.065,"confidence":0.17,"confidence_text":"low"},"anxiety":{"quantile":0.403,"score":-0.397,"confidence":0.19,"confidence_text":"low"},"artistic interests":{"quantile":0.585,"score":0.485,"confidence":0.107,"confidence_text":"low"},"assertiveness":{"quantile":0.658,"score":0.925,"confidence":0.093,"confidence_text":"low"},"cautiousness":{"quantile":0.475,"score":-0.107,"confidence":0.011,"confidence_text":"very low"},"cheerfulness":{"quantile":0.649,"score":0.566,"confidence":0.222,"confidence_text":"normal"},"cooperation":{"quantile":0.393,"score":-0.638,"confidence":0.102,"confidence_text":"low"},"depression":{"quantile":0.408,"score":-0.354,"confidence":0.215,"confidence_text":"normal"},"dutifulness":{"quantile":0.489,"score":-0.054,"confidence":0.054,"confidence_text":"low"},"emotionality":{"quantile":0.509,"score":0.04,"confidence":0.031,"confidence_text":"very low"},"excitement-seeking":{"quantile":0.646,"score":0.828,"confidence":0.083,"confidence_text":"low"},"friendliness":{"quantile":0.619,"score":0.427,"confidence":0.251,"confidence_text":"normal"},"gregariousness":{"quantile":0.67,"score":0.803,"confidence":0.147,"confidence_text":"low"},"imagination":{"quantile":0.572,"score":0.335,"confidence":0.033,"confidence_text":"very low"},"immoderation":{"quantile":0.511,"score":0.058,"confidence":0.062,"confidence_text":"low"},"intellect":{"quantile":0.612,"score":0.58,"confidence":0.058,"confidence_text":"low"},"liberalism":{"quantile":0.5,"score":0.0,"confidence":0.0,"confidence_text":"very low"},"modesty":{"quantile":0.389,"score":-0.573,"confidence":0.057,"confidence_text":"low"},"morality":{"quantile":0.434,"score":-0.351,"confidence":0.067,"confidence_text":"low"},"orderliness":{"quantile":0.5,"score":0.0,"confidence":0.0,"confidence_text":"very low"},"self-consciousness":{"quantile":0.331,"score":-0.742,"confidence":0.166,"confidence_text":"low"},"self-discipline":{"quantile":0.589,"score":0.498,"confidence":0.079,"confidence_text":"low"},"self-efficacy":{"quantile":0.648,"score":0.717,"confidence":0.141,"confidence_text":"low"},"sympathy":{"quantile":0.444,"score":-0.281,"confidence":0.05,"confidence_text":"low"},"trust":{"quantile":0.573,"score":0.3,"confidence":0.19,"confidence_text":"low"},"vulnerability":{"quantile":0.357,"score":-0.646,"confidence":0.158,"confidence_text":"low"}}},"lang":"en"}
curl --location --request POST 'https://zylalabs.com/api/979/neo+personality+insights+api/826/get+neo+pi' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"text": "I am 30 years old man. I studied physics and currently work as a software engineer. I am married and have a couple of kids. What else I can tell... I am open to new experience and like to chat. I am being nasty sometimes.",
"inventories": [
"neo"
],
"lang": "en"
}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The API returns personality insights based on the Big Five traits and 30 facets, including scores and quantiles for traits like assertiveness and altruism. The response includes the analyzed text and a detailed scoring breakdown.
Key fields in the response include "text" (the input text), "inventories" (the personality inventory used), and "scoring" (which contains detailed scores and quantiles for each personality facet).
The response data is structured in JSON format, with the main sections being the input text, the personality inventory used, and a scoring object that details the scores for each trait and facet.
The endpoint provides insights into personality traits and facets derived from the input text, including scores for traits like openness and conscientiousness, as well as quantiles indicating relative standing.
The primary parameter for the endpoint is the input text, which should be a string containing the text to be analyzed. Users can customize their requests by varying the text content.
Users can analyze the scoring data to understand personality traits, identify strengths and weaknesses, and apply these insights in areas like marketing, team dynamics, or personal development.
Data accuracy is maintained through IBM Watson's advanced natural language processing algorithms, which are continually refined and validated against psychological research and frameworks like the NEO PI-R.
Typical use cases include understanding customer behavior, enhancing team dynamics, personal development, recruitment, and mental health assessments, leveraging personality insights for tailored strategies.
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