Intro – Welcome to Sentino API!

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1. General Info
   – API Operation Levels
   – Authentication
   – Supported Languages
2. Use Cases
   – Big 5 traits from a text
   – NEO traits from a questionnaire
   – Questionnaire for Big 5 and Neo
   – Manage Profiles
3. Scoring
   – Metrics
   – Score Text
   – Score Facts
   – Score Interview
   – Score LinkedIn Profile
4. Person
   – Set Up a Profile
   – Create a Person
   – Add Facts
   – Person Profile
   – Delete a Person
5. Inventory List
   – Inventories
   – Inventory Items
   – Index Items
6. Questionnaires
   – Questionnaire
   – Create a Questionnaire
7. Item Analysis
   – Item Classification
   – Item Projection
8. Errors

A psychological personality API is a type of application programming interface (API) that allows developers to integrate personality assessments into their applications. This type of API is based on psychological theories of personality. Personality is a complex and multifaceted concept, and there are many different theories and approaches to understanding it. A psychological personality API allows developers to incorporate these theories and assessments into their applications, providing users with a way to assess and understand their own personality traits or those of others. This can be useful for a variety of purposes, including self-improvement, career development, and relationship building. Sentino Personality API is a data-driven, AI-powered service built to provide insights into human personality.

We have integrated vast psychological data and built a natural language interface for it. We have trained our models using the state-of-art NLP stack (e.g. Spacy, Transformers). This representation links the text to 20+ widely known validated inventories (Big 5, NEO-PI, RIASEC, ORVIS, ORAIS, DISC, etc.; the list can be further supplemented). We continuously keep researching and updating the models, striving for high accuracy.

That is why Sentino API is capable of analyzing various data sources (calls, messages, customer feedback, CVs, chat histories, surveys, forum and blog posts, and many more). Audio and video records (e.g. interviews) can also be scored following their processing with a text transcriber.

Sentino API was initially developed as a general psychological processor. This fact makes its adaptation to different application fields, industries, and verticals a rather straight-forward task.

One of the key advantages of the Sentino Personality API is its ability to process large amounts of text quickly and accurately. This means that developers can easily incorporate personality analysis capabilities into their apps without worrying about performance issues or slow processing times.

If you have any data and want to explore it from a psychological perspective, Sentino API will serve you well!

Request API token and go directly to Use Cases to explore the most common scenarios.

All end-points of Sentino API are explained in details. You can view code examples in the dedicated dark areas.

General Info

The key idea of Sentino API is to transform any type of information into psychologically meaningful representation and link it to validated personality inventories mentioned above.
When using it you will be able to:

1. Transform and score text about a person (e.g. a self-description) into chosen personality inventories.
2. Transform and score facts about a person into chosen personality inventories.
3. Score interview of a person (in the form of an an audio/video record) according to chosen personality inventories.
4. Score LinkedIn profile of a person according to chosen personality inventories.
5. Create a psychological profile of a person and continuously update it, by adding new information.

Sentino Personality API – Operation Levels

There are three main levels Sentino API operates on: item, inventory and person:

• item is simply a statement about one’s self that usually starts with a personal pronoun “I/My” (e.g. “I am an introvert” or “My name is Robert.”). See Item endpoints for more details.
• inventory is a set of items to measure particular traits of a person (e.g. Big-5, NEO-PI etc.). Sentino API supports a plenty of different inventories. See Inventories endpoints for more details.
• person is treated as a composition of different facts. Facts can be extracted from questionnaires a person fills in, a person’s self-description or in other way. Please see Scoring and Person for more details.

Start exploring the API from requesting API token and trying out most common Use Cases.

Authentication

If you haven’t got your token yet, please request it.

Sentino API uses tokens to give access to the API. You can request the token by contacting us by e-mail: info@sentino.org or through the Contact page of this website. It is free for non-commercial use and low traffic.

Sentino API expects the token to be included in all API requests to the server in a header that looks like the following:

# With shell, you can just pass the correct header with each request
curl "api_endpoint_here"
  -H "Authorization: Token sentino_api_token"

Supported Languages

Currently, two languages are supported: English and Portuguese. If you need another language, please Contact Us.

If you use other language than English, you should provide ‘lang’ parameter to most of endpoints.

Example: SentinoBot

Sentino API provides a great flexibility to fit many domains where insights on personality are important.

One of the easiest ways to explore the API is to chat with SentinoBot. This bot is an AI-powered chatting tool built to leverage a lot of API’s functionality. One can see Sentino API in action by chatting with the bot via Facebook Messenger facebook.com/sentinobot.

Use Cases

One of the most common cases where Sentino API shines is getting Big 5 or NEO traits (or any others) from a text written by a person. Please note that the text should contain psychologically meaningful information. Otherwise, the statistical confidence level will be rather low. This is why it is important to understand where the text comes from.

Further, we will discuss two scenarios that are the most common. Both scenarios imply that you don’t want to keep a personal profile in the database. If you do want to continuously work with a person’s profile by updating it, check out the next use case: manage profile.

Big 5 traits from a text

Suppose, you have a self-description of a person, kindly provided by that person or maybe you have written some passages about yourself of other person. You want to analyze the text to understand what Big 5 traits it reveals about the person.

This can be easily done using the Score Text endpoint.

NEO traits from a questionnaire

Suppose, you asked a person well-posed questions and gathered the responses. In this case, you should use another endpoint: Score Facts, that will bring you much higher confidence in the final scoring. However, you should keep in mind that ideally you should use a questionnaire specially designed to measure the inventory of interest.

Questionnaire for Big 5 and Neo

Usually, you can ask a person only a limited amount of questions and want to score concrete psychological traits.

• What questions should you ask?
• What are the best questions that provide you with the maximum information?

To solve this problem, you need to perform the following steps:

1. Pick the inventory you are interested in. For example, NEO.
2. Create a questionnaire by choosing a number of questions you intend to ask a person.
3. Collect the data from a person, simply by asking a person these questions.
4. Build a psychological profile. Use score facts.

Manage Profiles

This is a scenario in which you want to keep a psychological profile of a person up to date. You can easily keep adding new information (facts) and get the profile updated.

These are the actions to be performed:

• Create a person. You will simply get an ID to operate with
• Add “facts” about a person (like self-description or item-response pairs)
• Get person’s profile based on Big5, NEO, or other inventories (depending on your needs)
• Add more facts in the similar way
• Get the profile automatically updated
• Delete a profile if you do not plan to use it anymore

The ability to update a profile based on new facts makes adding new information absolutely price-efficient. Within the commercial plan, you only pay for the newly added text.

When you delete a person, no personal information is kept any longer (for commercial plan).

Scoring

Endpoints presented here are aimed to transform textual information about a person into psychologically meaningful representation. For example, if you have a description of a person or answers to psychologically meaningful questions, you can understand what traits (Big 5 and others) a person possesses.

Metrics

Each scoring consists of the metrics discussed below.

If you need to track one person over a long time period, it is more reliable to use score. Keep an eye on the confidence. If it is “very low”, normally it means that results should be taken with a grain of salt.

1. Score Text

Using this endpoint, you can easily extract psychologically meaningful information from a self-description of a person given in a natural language.

Technically, the text is split into sentences. Each sentence is then labeled with a corresponding topic (see the section Item Classification) and inventory (like Big5, Neo etc., see the section Item inventories).

You can try Self-Description Analysis – a visual tool that gives a glimpse on this endpoint.

curl -X POST "https://api.sentino.org/api/score/text"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
    "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": ["big5"],

    "lang": "en"
    }'

{
    "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": [
        "big5"
    ],
    "scoring": {
        "big5": {
            "agreeableness": {
                "quantile": 0.431,
                "score": -0.397,
                "confidence": 0.073,
                "confidence_text": "very low"
            },
            ...
    },
    "lang": "en"
}

Processing options for other text layouts can be proposed by the request. So, if you use other standard interview layout, please let us know.

If we receive the interview in the form of an audio or video record, we initially use AI speech recognition tools to convert audio and video content into transcripts during the pre-processing phase and then employ the resulting text for mining.

The text data is accurately scored with the help of our AI-powered tool. You receive the applicant’s personality profile based on the BIG-5, RIASEC, NEO, BFAS or other suitable validated and globally recognized psychological scale. This profile is issued in a clearly arranged form comprising numerical score, and brief but insightful text description. Currently, we are working hard on visualization of the results obtained in a user-friendly infographic form and provision of recommendations based on scoring performed.

All the data provided by our tool allows making unbiased hiring decisions.

2. Score Facts

If you have previously collected a well-structured item-response pairs, this endpoint is for you. Provide the facts and get the psychological representation of a person.

Facts

Fact is a piece of information about a person. There are two types of facts currently supported:

Please see some examples below.

curl -X POST "https://api.sentino.org/api/score/facts"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "inventories": ["big5"],
  "facts": [
    {
      "text": "My name is John. I am an extravert.",
      "lang": "en"
    },
    {
      "text": "I do not like to chat.",
      "response": "disagree"
    }
  ]
}'

{
    "facts": [...],
    "inventories": ["big5"],
    "scoring": {
        "big5": {
            "extraversion": {
                "quantile": 1.0,
                "score": 1.0,
                "confidence": 0.194,
                "confidence_text": "low"
            }
            ...
        }
    },
    "lang": "en"
}

Responses

There are many ways to response to a question or psychological item. However, internally all responses are translated into the seven distinct groups: from “strongly disagree” through “neutral” to “strongly agree”. The table below shows typical synonyms to the core responses.

Soon to come: Time Stamp

For each fact a timestamp can be specified. This is required for example to account for time persistency of a fact. For example, “I am in a bad mood now” is usually constrained in time unlike “I am usually in a bad mood”. If a timestamp is not provided, it is set to the current time.

3. Score Interview

This endpoint allows getting personality insights from an interview text.

Based on prior consent, make an audio or video record of the interview with a person of interest and file this record to us. We will automate a repetitive and tedious analysis task for you. You can provide the interview for analysis either in the text form (*.txt, *.doc, *.docx) or as an original audio/video record.

The following input parameters are used for this endpoint:

curl -X POST "https://api.sentino.org/api/score/interview"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "inventories": ["big5", "riasec", "disc"],
  
    "text": "
A: Please, tell me about yourself.
B: My name is John. I am 27. I graduated from Warsaw University in 2017 with a Marketing degree. What really got me into the field, though, is the internship I did at Y&Z Company. For the past 5 years, I’ve been working there as a marketing analyst. Throughout my career, I’ve noticed that I’ve always been good with marketing research, data acquisition and analysis, forecasting, and strategic planning. I’ve received two promotions and three awards for outstanding performance. Currently, I’m looking to join a fast-growing organization that could take full advantage of my past experience. I’d like to take on more leadership and project management.
"
 },
    "lang": "en"
}'

"scoring": {
        "big5": {
            "agreeableness": {
                "quantile": 0.416,
                "score": 0.547,
                "confidence": 0.007,
                "confidence_text": "very low"
            },
        ...      
            },
        "riasec": {
            "artistic": {
                "quantile": 1.0,
                "score": 1.0,
                "confidence": 0.659,
                "confidence_text": "high"
            },
        ...
            },
        "disc": {
            "compliance": {
                "quantile": 1.0,
                "score": 1.0,
                "confidence": 0.782,
                "confidence_text": "high"
            },
         ...
            },
    "lang": "en"
}

Please note that there are two text layouts currently supported by Sentino Personality AI by the default:

Layout 1.

A: How is life?
B: Life is good.
A: Really?
B: Yes.

Layout 2.

A
How is life?

B
Life is good.

A
Really?

B
Yes.

Processing options for other text layouts can be proposed by the request. So, if you use other standard interview layout, please let us know.

If we receive the interview in the form of an audio or video record, we initially use AI speech recognition tools to convert audio and video content into transcripts during the pre-processing phase and then employ the resulting text for mining.

4. Score LinkedIn profile

Please feed Sentino API with a link on the LinkedIn profile of the person of interest and use this endpoint to get valuable personality insights.

You need to use only one input parameter here:

curl -X POST "https://api.sentino.org/api/score/linkedin"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
    "url": "https://www.linkedin.com/in/deniss-stepanovs-2248111a/"
}'

{
    "url": "https://www.linkedin.com/in/deniss-stepanovs-2248111a/",
    "scoring": {
        "big5": {
            "agreeableness": {
                "score": 0.408,
                "quantile": 0.912,
                "confidence": 0.447,
                "confidence_text": "normal",
                "beta_a": 1.912,
                "beta_b": 1.088
            },
…
        },
        "riasec": {
            "artistic": {
                "score": -0.69,
                "quantile": 0.289,
                "confidence": 0.451,
                "confidence_text": "normal",
                "beta_a": 1.289,
                "beta_b": 1.711
            },
…
        },
        "skill": {
            "active learning": {
                "score": 0.103,
                "quantile": 0.29,
                "confidence": 0.322,
                "confidence_text": "normal",
                "beta_a": 1.29,
                "beta_b": 1.71
…
        },
        "style": {
            "achievement/effort": {
                "score": 0.495,
                "quantile": 0.44,
                "confidence": 0.588,
                "confidence_text": "high",
                "beta_a": 1.44,
                "beta_b": 1.56
            },
…
        },
        "value": {
            "achievement": {
                "score": 0.043,
                "quantile": 0.175,
                "confidence": 0.155,
                "confidence_text": "low",
                "beta_a": 1.175,
                "beta_b": 1.825
            },
…
}

Person

In this section you can find all the available endpoints for managing psychological profiles of individuals. The advantage of using these endpoints is the ability to continuously add new information about a person and retrieve their automatically updated profile.

Please note that, prior to use of these endpoints, you need to define what inventories you want to use and get updated for each person.

All the known facts about a person are stored in the database. Once any new information about this person arrives, the corresponding profile is updated. The newly updated profile can be easily read out by querying profile.

Set up a profile

In order to use person-related endpoints, you need to set up the inventories of interest. Once you run the below-mentioned query, you can start “adding people” and the results for the pre-selected inventories will get automatically updated.

curl -X POST "https://api.sentino.org/api/client/profile"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "inventories": ["big5", "neo"]
}'

{
    "name": "default",
    "inventories": [
        "big5",
        "neo"
    ],
    "message": "inventories successfully added/updated"
}

Create a person

Please use the query described below to create a person. The query returns the ID of this person. All other person-related endpoints depend on this ID.

At this point no charges (even for commercial users) are applied.

curl -X POST "https://api.sentino.org/api/person/create"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"

{
  "id": "dfefFdfewdfXDDf"
}

Add facts

In order to add facts, please execute the query described below.

Please use the ID of the previously created “person” to refer to the relevant individual. Then, provide as many facts as you want.

Once the facts are provided, the scoring will take place in accordance with a chosen inventory. The charges (for commercial users) are applied at this particular phase. The price depends on the length of the “text” field and number of facets (traits) of the inventories you added before.

Whenever required, you can add new “facts”. Subsequently, the newly-added information only is charged.

You need the following parameters to execute this query:

Currently, there are three types of supported facts:

curl -X POST "https://api.sentino.org/api/person/<id>/fact"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "facts": [
    {
      "text": "My name is John. I am an extravert.",
      "lang": "en"
    },
    {
      "text": "I do not like to chat.",
      "response": "disagree",
      "lang": "en"
    },
    {
      "url": "https://www.linkedin.com/in/deniss-stepanovs-2248111a/"
    }
  ]
}'

{
  "id": "<id>",
  "message": "success"
}

Person profile

This endpoint allows building a personal profile from the facts.

To get a person profile (as per Big5, NEO, RIASEC, etc.) simply use the following query.

Please note:

• The correspondent inventories should be set up in advance
• If no relevant facts are provided you still get a default scoring (that depends on inventory)
• No charges are applied at this point, since all the scoring was actually performed during the “fact adding” phase

curl -X GET "https://api.sentino.org/person/<id>/profile"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"

{
  "big5": {
        "conscientiousness": {
          ...
        },
        "openness": {
            "score": 0.0,
            "quantile": 0.5,
            "confidence": 0.1,
            "confidence_text": "low"
        },
  "via": {
      ...
  }
}

Delete a person

In order to delete a person, please run the query described below.

As the result of the query execution, the following happens:

• The “person” is deleted (the relevant ID does not work anymore)
• All the facts and performed scoring are deleted
• Information related to the fact of the scoring performance with the correspondent price is kept (!)
• Information related to the query itself with the first 16 symbols (and length) of the facts is kept (for debugging purposes)

curl -X DELETE "https://api.sentino.org/api/person/<id>"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"

{
  "message": "success"
}

Inventory List

Inventory is a set of items that are intended for measurement of psychological traits of a person (e.g. Big-5, NEO-PI etc.)

Endpoints discussed in this section allow you to get all available personality inventories (such as Big 5, NEO etc.) together with their facets (indices) and corresponding items. These are questionnaires help to understand individuals’ psyche. Theya are reliably validated by numerous scientific studies and widely used by practitioners. The inventories listed below can be used out of the box. If you need any other inventory, please do not hesitate to contact us.

Inventories

This endpoint shows all available personality inventories.

List of inventories:

[1] Goldberg (1992). Big-Five Factor Markers

[2] DeYoung, Quilty, and Peterson (2007). 10 Big-Five Aspects

[3] Costa and McCrae (1992). NEO-PI-R

[4] Hofstee, de Raad and Goldberg (1992). 45 AB5C facets

[5] Lee and Ashton (2004). HEXACO-PI

[6] Jackson, Paunonen, and Tremblay (2000). Six Factor Personality Questionnaire

[7] Markey and Markey (2009). 8 IPIP Interpersonal Circumplex Scales

[8] Saucier (1997). 7-factor scales

[9] Gough (1996). California Psychological Inventory

[10] Barchard (2001). Potential “Emotional Intelligence” Components

[11] Hans Eysenck & Sybil Eysenck (1975). Eysenck Personality Questionnaire

[12] Jackson (1994). Jackson Personality Inventory

[13] Tellegen (1995/2003). Multidimensional Personality Questionnaire

[14] Cloninger, et al. (1994). Temperament and Character Inventory

[15] Peterson & Seligman (2004). Values in Action Character Survey

[16] Pozzebon, et al. (2010). Oregon Vocational Interest Scales

[17] Goldberg, L. R. (1990). An alternative “Description of personality”: The Big-Five factor structure

[18] Carver & White (1994). Behavioral Inhibition/Activation Systems

[19] DeYoung, C. G., Peterson, J. B., & Higgins, D. M. (2002). Higher-order factors of the Big Five predict conformity: Are there neuroses of health?

[20] Jackson, Paunonen, and Tremblay (2000). Six Factor Personality Questionnaire

[21] Markey and Markey’s (2009)

[22] Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological Assessment, 4, 26-42

[23] David M. Condon, An empirically-derived, hierarchically-organized self-report personality assessment model

[24] William Moulton Marston (2008). Emotions of Normal People

curl -X GET "https://api.sentino.org/api/inventories"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"

 {
    "inventories": [
        "6fpq",
        "8ics",
        "ab5c",
        "adj",
        "bfas",
        "big5",
        "big7",
        "bisbas",
        "cpi",
        "disc",        
        "emoint",
        "hexaco",
        "ipc",
        "jpi",
        "mpq",
        "neo",
        "orais",
        "orvis",
        "qb6",
        "riasec",        
        "spi",
        "tci",
        "via"
    ]
}

Inventory Items

This endpoint retrieves all the items for a given inventory. Ask people how these items relate to them and you will be able to get a highly confident psychological profile by scoring facts.

Instead of <inventory> you should choose a particular inventory from the proposed list of personality inventories.

curl -X GET "https://api.sentino.org/api/items/neo"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"

{
    "inventory": "neo",
    "items": [
        "I a lot in my spare time.",
        "I act comfortably with others.",
        "I act wild and crazy.",
        "I act without thinking.",
        "I adapt easily to new situations.",
        "I am a creature of habit.",
        "I am able to control my cravings.",
        "I am able to stand up for myself.",
        "I am afraid of many things."
         ...
    ]
}

Index Items

This endpoint retrieves all items for a given index of the inventory.

Instead of <inventory> you should choose a particular inventory from the list of the inventories.

Instead of <index> it is necessary to specify a particular index of the inventory. You can look through the list of available inventories at the address: https://api.sentino.org/api/inventories/<inventory> (please specify the previously chosen inventory).

curl -X GET "https://api.sentino.org/api/items/neo/anger"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"

{
    "inventory": "neo",
    "index": "anger",
    "items": [
        "I am not easily annoyed.",
        "I am often in a bad mood.",
        "I get angry easily.",
        "I get irritated easily.",
        "I get upset easily.",
        "I keep my cool.",
        "I lose my temper.",
        "I rarely complain.",
        "I rarely get irritated.",
        "I seldom get mad."
    ]
}

Questionnaires

This endpoint lists all (20+) questionnaires available out-of-the-box. Please note that you can create a questionnaire of your own for any inventory (see the section create a questionnaire below).

curl -X GET "https://api.sentino.org/api/questionnaires"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"

  {
    "questionnaires": [
        "neo.sentino.90",
        ...
    ]
  }

Questionnaire

Select a particular questionnaire to view its items and scorings.

Instead of <questionnaire> you should choose one questionnaire from the list of available questionnaires.

curl -X GET "https://api.sentino.org/api/questionnaire/neo.sentino.90"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"

{
    "questionnaire": "neo.sentino.90",
    "items": [
        "I am open about my feelings.",
        "I crave the experience of great art.",
        ...
        ]
}

Create a Questionnaire

You can easily create a questionnaire of your own based on one or several pre-chosen personality inventories. Please provide n – a number of items you need. Instead of <inventories> you should specify particular inventories from the list of inventories. By default, Sentino API uses the highly-efficient “smart” method for item search and selection.

curl -X POST "https://api.sentino.org/api/questionnaire"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
    "inventories": ["big5", "neo"],
    "method": "smart",
    "n": 30
    }'

{
    "inventories": [
        "big5",
        "neo"
    ],
    "method": "smart",
    "n": 30,
    "items": [
        "I respect authority.",
        "I dislike routine.",
        "I am hard to get to know.",
        "I get angry easily.",
        "I have a rich vocabulary.",
        "I am not highly motivated to succeed.",
        "I react slowly.",
        "I prefer variety to routine.",
        "I look down on others.",
        "I lose my temper.",
        "I get caught up in my problems.",
        "I do not like poetry.",
        "I take charge.",
        "I do crazy things.",
        "I express childlike joy.",
        "I contradict others.",
        "I often feel blue.",
        "I break rules.",
        "I seldom get emotional.",
        "I seek adventure.",
        "I am hard to get to know.",
        "I avoid crowds.",
        "I enjoy wild flights of fantasy.",
        "I often eat too much.",
        "I have a rich vocabulary.",
        "I tend to vote for liberal political candidates.",
        "I believe that I am better than others.",
        "I know how to get around the rules.",
        "I leave a mess in my room.",
        "I stumble over my words."
    ]
}

Item Analysis

Sentino API uses Natural Language Processing (NLP) algorithms to understand the written input of human language. To understand an item is to know how it relates to the known psychological inventories. This ensures that the resulting analysis is always based on the data of real people.

These endpoints will help you to get insights into the item itself, providing you with a multifaceted analysis. The main question is the following: what psychological traits are hidden behind an item? Try out a Self-statement Analysis Tool that demonstrates item-level functionality.

Item classification

API strongly differentiates a psychologically meaningful information from the rest. This endpoint classifies the given item according to the following categories below. The result is a probability of belonging to a certain category with a range of [0, +1]). Probability higher than 0.5 is considered relevant.

Query Parameters

curl -X POST "https://api.sentino.org/api/item/classify" 
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json" 
-d '{"text": "I am brave"}'

{
    "text": "I am brave",
    "lang": "en",
    "basics": {
        "is_psy": 0.927,
        "is_mood": 0.0,
        "is_item": 0.928,
        "valence": 0.581,
        "mean": 0.568,
        "proba": [0.14, 0.31, 0.55]
    },
    "topics": ["psy"],
    "proba": {
        "psy": 0.927,
        "food_preference": 0.003,
        "parental_status": 0.019,
        "age": 0.068,
        "gender": 0.129,
        "health_status": 0.014,
        "name": 0.069,
        "skill": 0.199,
        "appearance": 0.217,
        "location_origin": 0.015,
        "family_status": 0.0,
        "ethnicity": 0.017,
        "education_status": 0.011,
        "religion": 0.007,
        "language": 0.0,
        "location_residence": 0.0,
        "orientation": 0.0,
        "marital_status": 0.002,
        "sibling_status": 0.0
        ...
    }
 }

Item projection

The API allows analyzing a given self-statement (item) by projecting it onto specified personality inventory (projection correspondence range is [-1, +1]). You should choose a particular inventory from the list of personality inventories.

Keep in mind, it only makes sense for psychologically relevant statements.

This endpoint shows the projection of a given item onto a specified personality inventory.

curl -X POST "https://api.sentino.org/api/item/projection" 
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json" 
-d '{"text": "I am brave", "inventories": ["big5"]}'

 {
    "text": "i am brave",
    "inventories": [
        "big5"
    ],
    "lang": "en",
    "projection": {
        "big5": {
            "agreeableness": -0.025,
            "conscientiousness": 0.051,
            "extraversion": 0.313,
            "neuroticism": -0.194,
            "openness": 0.293
        }
    },
    "basics": {
        "valence": 0.573,
        "is_item": 1.0,
        "is_psy": 1.0,
        "is_mood": 0.0,
        "proba": [
            0.166,
            0.057,
            0.777
        ],
        "mean": 0.611
    }
}

Errors

Sentino API uses the following error codes: