The Text Analysis with Personality Treats API is a powerful tool for understanding how the author of a written text makes decisions. The API uses natural language processing techniques to predict the personality traits of the author. It helps to determine whether the author is an Emotional or Rational decision-maker by analyzing their text for key indicators such as social values, empathy, facts, and logical deduction.
Emotional decision-makers are typically considered to be relationship-oriented, focusing on social values and empathy. They tend to make decisions based on their feelings, values, and relationships with others. On the other hand, Rational decision-makers are objective and pragmatic, focusing on facts and logical deduction. They tend to make decisions based on logic and reason.
This API is useful for a wide range of applications such as market research, customer service, and employee recruitment. For example, businesses can use this API to analyze customer feedback to understand how customers make decisions and to tailor their marketing strategies accordingly. Additionally, recruiters can use this API to analyze job applicants' resumes and cover letters to better understand their decision-making styles.
The Text Analysis with Personality Treats API is easy to integrate with other applications, and it returns the results in a format that can be easily understood and utilized by developers and analysts. With this API, you can gain valuable insights into the personality traits of an author of the text, to help you make better decisions and improve your business.
Pass the text that you want to analyze, and receive the personality traits that are recognized in the text with a confidence score.
Market research: Companies can use the Text Analysis with Personality Treats API to analyze customer feedback and social media posts to understand how their customers make decisions and tailor their marketing strategies accordingly.
Customer service: Organizations can use the API to analyze customer support tickets and emails to understand how customers make decisions and improve their customer service.
Employee recruitment: Recruiters can use the API to analyze resumes and cover letters to better understand the decision-making styles of job applicants and select the best fit for the company.
Political campaign: Political campaign teams can use the API to analyze speeches and statements made by political candidates and understand their decision-making styles, which can give insights into how they may govern if elected.
Social media analysis: Social media managers can use the API to analyze the posts and comments of influencers and public figures to understand their decision-making styles and tailor their communication strategies accordingly.
Mental health and behavioral research: The API can be used in mental health and behavioral research to understand how individuals with different disorders make decisions and develop treatments accordingly.
Besides API call limitations per month, there are no other limitations.
Predict the personality traits to understand how the author of the written text makes decisions, whether they are Emotional (relationship-oriented, focusing on social values and empathy) or Rational (objective and pragmatic, focusing on facts and logical deduction).
Supported Languages: [ ar, de, en, es, fr, it, nl, pt, ru, tr, zh ]
Object | Description |
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Request Body |
[Required] Json |
[{"id":"1","predictions":[{"prediction":"emotional","probability":0.99965}]}]
curl --location --request POST 'https://zylalabs.com/api/1143/text+analysis+with+personality+treats+api/1010/text+analysis' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Text Analysis with Personality Treats API REST API, simply include your bearer token in the Authorization header.
Header | Description |
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Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
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