public class Profile
extends com.ibm.cloud.sdk.core.service.model.GenericModel
Modifier and Type | Class and Description |
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static interface |
Profile.ProcessedLanguage
The language model that was used to process the input.
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Constructor and Description |
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Profile() |
Modifier and Type | Method and Description |
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List<Behavior> |
getBehavior()
Gets the behavior.
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List<ConsumptionPreferencesCategory> |
getConsumptionPreferences()
Gets the consumptionPreferences.
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List<Trait> |
getNeeds()
Gets the needs.
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List<Trait> |
getPersonality()
Gets the personality.
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String |
getProcessedLanguage()
Gets the processedLanguage.
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List<Trait> |
getValues()
Gets the values.
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List<Warning> |
getWarnings()
Gets the warnings.
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Long |
getWordCount()
Gets the wordCount.
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String |
getWordCountMessage()
Gets the wordCountMessage.
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public String getProcessedLanguage()
The language model that was used to process the input.
public Long getWordCount()
The number of words from the input that were used to produce the profile.
public String getWordCountMessage()
When guidance is appropriate, a string that provides a message that indicates the number of words found and where that value falls in the range of required or suggested number of words.
public List<Trait> getPersonality()
A recursive array of `Trait` objects that provides detailed results for the Big Five personality characteristics (dimensions and facets) inferred from the input text.
public List<Trait> getNeeds()
Detailed results for the Needs characteristics inferred from the input text.
public List<Trait> getValues()
Detailed results for the Values characteristics inferred from the input text.
public List<Behavior> getBehavior()
For JSON content that is timestamped, detailed results about the social behavior disclosed by the input in terms of temporal characteristics. The results include information about the distribution of the content over the days of the week and the hours of the day.
public List<ConsumptionPreferencesCategory> getConsumptionPreferences()
If the **consumption_preferences** parameter is `true`, detailed results for each category of consumption preferences. Each element of the array provides information inferred from the input text for the individual preferences of that category.
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