Extract Skills🔗︎
HTTP Verb | Path | |
---|---|---|
POST | /v10/skills/extract | |
POST | /v10/skills/v2/extract | Includes Certifications |
Extracts known skills from the given text.
Info
- You can try this endpoint out at our Swagger page ( US Data Center | EU Data Center | AU Data Center )
Scope of use🔗︎
The purpose of this endpoint is to enrich data records using our Taxonomy. You may store the parts of the response that are relevant to individual data records - such as candidate or employee profiles - within these records. It is not permitted to cache, store, or utilize responses from this endpoint for the purpose of limiting request volume, or to create replicas or derivatives of the Service and the Taxonomy.
Request Body🔗︎
Text 🔗︎ string
required
Text🔗︎
The text to extract skills from. There is a 24,000 character limit.
Language 🔗︎ string
required
Language🔗︎
The language of the input text. Must be one of the supported ISO codes.
OutputLanguage 🔗︎ string
OutputLanguage🔗︎
The language to use for the output skill descriptions. If not provided, defaults to the input language. Must be one of the supported ISO codes.
Threshold 🔗︎ float
Threshold🔗︎
A value from [0 - 1] for the minimum confidence threshold for extracted skills. Lower values will return more skills, but also increase the likelihood of ambiguity-related errors. The recommended and default value is 0.5.
Response Body🔗︎
Info 🔗︎ object
Info🔗︎
Information explaining the outcome of the transaction.
Info properties
Code 🔗︎ string
Code🔗︎
Code | Description |
---|---|
Success |
Successful transaction |
MissingParameter |
A required parameter wasn't provided |
InvalidParameter |
A parameter was incorrectly specified |
AuthenticationError |
An error occurred with the credentials provided |
Message 🔗︎ string
Message🔗︎
This message further describes the code providing additional detail.
TransactionId 🔗︎ string
TransactionId🔗︎
The (GUID) id for a specific API transaction. Use this when contacting support@textkernel.com about issues.
EngineVersion 🔗︎ string
EngineVersion🔗︎
The version of the parsing/matching engine running under-the-hood.
TotalElapsedMilliseconds 🔗︎ integer
TotalElapsedMilliseconds🔗︎
How long the transaction took on Textkernel's server, in milliseconds. If the transaction takes longer to complete on the client side, that extra duration is solely network latency.
TransactionCost 🔗︎ decimal
TransactionCost🔗︎
How many credits the transaction costs.How many credits the transaction costs.
CustomerDetails 🔗︎ object
CustomerDetails🔗︎
Information about the customer who made the API call.
CustomerDetails properties
CreditsRemaining 🔗︎ decimal
CreditsRemaining🔗︎
The number of credits remaining to be used by the account.
Value 🔗︎ object
Value🔗︎
Contains response data for the transaction.
Value properties
Skills 🔗︎ object[]
Skills🔗︎
A list of extracted skills.
Skills properties
Type 🔗︎ string
Type🔗︎
Type of skill. Possible values are Certification
, Professional
, IT
, Language
, or Soft
. Certifications only returned when using v2
.
Confidence 🔗︎ float
Confidence🔗︎
A value from [0 - 1] indicating the overall confidence that the extracted term actually refers to a skill in the context of the text (the average value of the 'likelihood' values of the individual match scores).
Description 🔗︎ string
Description🔗︎
The description of the normalized skill concept in the requested language.
IsoCode 🔗︎ string
IsoCode🔗︎
The language ISO 639-1 code. This will only appear for language skills (Type = Language
).
Sample JSON
{
"Info": {
"Code": "string",
"Message": "string",
"TransactionId": "string",
"EngineVersion": "string",
"ApiVersion": "string",
"TotalElapsedMilliseconds": 0,
"TransactionCost": 0,
"CustomerDetails": {
"AccountId": "string",
"Name": "string",
"IPAddress": "string",
"Region": "string",
"CreditsRemaining": 0,
"CreditsUsed": 0,
"ExpirationDate": "2021-12-31",
"MaximumConcurrentRequests": 0
}
},
"Value": {
"Truncated": false,
"Skills": [
{
"Type": "string",
"Id": "string",
"Confidence": 1.0,
"Description": "string",
"IsoCode": "string",
"Matches": [
{
"BeginSpan": 0,
"EndSpan": 1,
"Likelihood": 1.0,
"RawText": "string"
}
]
}
]
}
}