Google Cloud Native v0.28.0, Feb 2 23

google-native.contactcenterinsights/v1.getAnalysis

Gets an analysis.

Using getAnalysis

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getAnalysis(args: GetAnalysisArgs, opts?: InvokeOptions): Promise<GetAnalysisResult>
function getAnalysisOutput(args: GetAnalysisOutputArgs, opts?: InvokeOptions): Output<GetAnalysisResult>

def get_analysis(analysis_id: Optional[str] = None,
                 conversation_id: Optional[str] = None,
                 location: Optional[str] = None,
                 project: Optional[str] = None,
                 opts: Optional[InvokeOptions] = None) -> GetAnalysisResult
def get_analysis_output(analysis_id: Optional[pulumi.Input[str]] = None,
                 conversation_id: Optional[pulumi.Input[str]] = None,
                 location: Optional[pulumi.Input[str]] = None,
                 project: Optional[pulumi.Input[str]] = None,
                 opts: Optional[InvokeOptions] = None) -> Output[GetAnalysisResult]

func LookupAnalysis(ctx *Context, args *LookupAnalysisArgs, opts ...InvokeOption) (*LookupAnalysisResult, error)
func LookupAnalysisOutput(ctx *Context, args *LookupAnalysisOutputArgs, opts ...InvokeOption) LookupAnalysisResultOutput

> Note: This function is named LookupAnalysis in the Go SDK.

public static class GetAnalysis 
{
    public static Task<GetAnalysisResult> InvokeAsync(GetAnalysisArgs args, InvokeOptions? opts = null)
    public static Output<GetAnalysisResult> Invoke(GetAnalysisInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetAnalysisResult> getAnalysis(GetAnalysisArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

fn::invoke:
  function: google-native:contactcenterinsights/v1:getAnalysis
  arguments:
    # arguments dictionary

The following arguments are supported:

AnalysisId string
ConversationId string
Location string
Project string

AnalysisId string
ConversationId string
Location string
Project string

analysisId String
conversationId String
location String
project String

analysisId string
conversationId string
location string
project string

analysis_id str
conversation_id str
location str
project str

analysisId String
conversationId String
location String
project String

getAnalysis Result

The following output properties are available:

AnalysisResult Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1AnalysisResultResponse: The result of the analysis, which is populated when the analysis finishes.
AnnotatorSelector Pulumi.GoogleNative.Contactcenterinsights.V1.Outputs.GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse: To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
CreateTime string: The time at which the analysis was created, which occurs when the long-running operation completes.
Name string: Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
RequestTime string: The time at which the analysis was requested.

AnalysisResult GoogleCloudContactcenterinsightsV1AnalysisResultResponse: The result of the analysis, which is populated when the analysis finishes.
AnnotatorSelector GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse: To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
CreateTime string: The time at which the analysis was created, which occurs when the long-running operation completes.
Name string: Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
RequestTime string: The time at which the analysis was requested.

analysisResult GoogleCloudContactcenterinsightsV1AnalysisResultResponse: The result of the analysis, which is populated when the analysis finishes.
annotatorSelector GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse: To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
createTime String: The time at which the analysis was created, which occurs when the long-running operation completes.
name String: Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
requestTime String: The time at which the analysis was requested.

analysisResult GoogleCloudContactcenterinsightsV1AnalysisResultResponse: The result of the analysis, which is populated when the analysis finishes.
annotatorSelector GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse: To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
createTime string: The time at which the analysis was created, which occurs when the long-running operation completes.
name string: Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
requestTime string: The time at which the analysis was requested.

analysis_result GoogleCloudContactcenterinsightsV1AnalysisResultResponse: The result of the analysis, which is populated when the analysis finishes.
annotator_selector GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse: To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
create_time str: The time at which the analysis was created, which occurs when the long-running operation completes.
name str: Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
request_time str: The time at which the analysis was requested.

analysisResult Property Map: The result of the analysis, which is populated when the analysis finishes.
annotatorSelector Property Map: To select the annotators to run and the phrase matchers to use (if any). If not specified, all annotators will be run.
createTime String: The time at which the analysis was created, which occurs when the long-running operation completes.
name String: Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis}
requestTime String: The time at which the analysis was requested.

Supporting Types

GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse

Annotations List<Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1CallAnnotationResponse>: A list of call annotations that apply to this call.
Entities Dictionary<string, string>: All the entities in the call.
Intents Dictionary<string, string>: All the matched intents in the call.
IssueModelResult Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1IssueModelResultResponse: Overall conversation-level issue modeling result.
PhraseMatchers Dictionary<string, string>: All the matched phrase matchers in the call.
Sentiments List<Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse>: Overall conversation-level sentiment for each channel of the call.

Annotations []GoogleCloudContactcenterinsightsV1CallAnnotationResponse: A list of call annotations that apply to this call.
Entities map[string]string: All the entities in the call.
Intents map[string]string: All the matched intents in the call.
IssueModelResult GoogleCloudContactcenterinsightsV1IssueModelResultResponse: Overall conversation-level issue modeling result.
PhraseMatchers map[string]string: All the matched phrase matchers in the call.
Sentiments []GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse: Overall conversation-level sentiment for each channel of the call.

annotations List<GoogleCloudContactcenterinsightsV1CallAnnotationResponse>: A list of call annotations that apply to this call.
entities Map<String,String>: All the entities in the call.
intents Map<String,String>: All the matched intents in the call.
issueModelResult GoogleCloudContactcenterinsightsV1IssueModelResultResponse: Overall conversation-level issue modeling result.
phraseMatchers Map<String,String>: All the matched phrase matchers in the call.
sentiments List<GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse>: Overall conversation-level sentiment for each channel of the call.

annotations GoogleCloudContactcenterinsightsV1CallAnnotationResponse[]: A list of call annotations that apply to this call.
entities {[key: string]: string}: All the entities in the call.
intents {[key: string]: string}: All the matched intents in the call.
issueModelResult GoogleCloudContactcenterinsightsV1IssueModelResultResponse: Overall conversation-level issue modeling result.
phraseMatchers {[key: string]: string}: All the matched phrase matchers in the call.
sentiments GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse[]: Overall conversation-level sentiment for each channel of the call.

annotations Sequence[GoogleCloudContactcenterinsightsV1CallAnnotationResponse]: A list of call annotations that apply to this call.
entities Mapping[str, str]: All the entities in the call.
intents Mapping[str, str]: All the matched intents in the call.
issue_model_result GoogleCloudContactcenterinsightsV1IssueModelResultResponse: Overall conversation-level issue modeling result.
phrase_matchers Mapping[str, str]: All the matched phrase matchers in the call.
sentiments Sequence[GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse]: Overall conversation-level sentiment for each channel of the call.

annotations List<Property Map>: A list of call annotations that apply to this call.
entities Map<String>: All the entities in the call.
intents Map<String>: All the matched intents in the call.
issueModelResult Property Map: Overall conversation-level issue modeling result.
phraseMatchers Map<String>: All the matched phrase matchers in the call.
sentiments List<Property Map>: Overall conversation-level sentiment for each channel of the call.

GoogleCloudContactcenterinsightsV1AnalysisResultResponse

CallAnalysisMetadata Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse: Call-specific metadata created by the analysis.
EndTime string: The time at which the analysis ended.

CallAnalysisMetadata GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse: Call-specific metadata created by the analysis.
EndTime string: The time at which the analysis ended.

callAnalysisMetadata GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse: Call-specific metadata created by the analysis.
endTime String: The time at which the analysis ended.

callAnalysisMetadata GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse: Call-specific metadata created by the analysis.
endTime string: The time at which the analysis ended.

call_analysis_metadata GoogleCloudContactcenterinsightsV1AnalysisResultCallAnalysisMetadataResponse: Call-specific metadata created by the analysis.
end_time str: The time at which the analysis ended.

callAnalysisMetadata Property Map: Call-specific metadata created by the analysis.
endTime String: The time at which the analysis ended.

GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse

TranscriptIndex int: The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
WordIndex int: The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.

TranscriptIndex int: The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
WordIndex int: The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.

transcriptIndex Integer: The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
wordIndex Integer: The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.

transcriptIndex number: The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
wordIndex number: The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.

transcript_index int: The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
word_index int: The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.

transcriptIndex Number: The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero.
wordIndex Number: The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero.

GoogleCloudContactcenterinsightsV1AnnotatorSelectorResponse

IssueModels List<string>: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
PhraseMatchers List<string>: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
RunEntityAnnotator bool: Whether to run the entity annotator.
RunIntentAnnotator bool: Whether to run the intent annotator.
RunInterruptionAnnotator bool: Whether to run the interruption annotator.
RunIssueModelAnnotator bool: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
RunPhraseMatcherAnnotator bool: Whether to run the active phrase matcher annotator(s).
RunSentimentAnnotator bool: Whether to run the sentiment annotator.
RunSilenceAnnotator bool: Whether to run the silence annotator.

IssueModels []string: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
PhraseMatchers []string: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
RunEntityAnnotator bool: Whether to run the entity annotator.
RunIntentAnnotator bool: Whether to run the intent annotator.
RunInterruptionAnnotator bool: Whether to run the interruption annotator.
RunIssueModelAnnotator bool: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
RunPhraseMatcherAnnotator bool: Whether to run the active phrase matcher annotator(s).
RunSentimentAnnotator bool: Whether to run the sentiment annotator.
RunSilenceAnnotator bool: Whether to run the silence annotator.

issueModels List<String>: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
phraseMatchers List<String>: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
runEntityAnnotator Boolean: Whether to run the entity annotator.
runIntentAnnotator Boolean: Whether to run the intent annotator.
runInterruptionAnnotator Boolean: Whether to run the interruption annotator.
runIssueModelAnnotator Boolean: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
runPhraseMatcherAnnotator Boolean: Whether to run the active phrase matcher annotator(s).
runSentimentAnnotator Boolean: Whether to run the sentiment annotator.
runSilenceAnnotator Boolean: Whether to run the silence annotator.

issueModels string[]: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
phraseMatchers string[]: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
runEntityAnnotator boolean: Whether to run the entity annotator.
runIntentAnnotator boolean: Whether to run the intent annotator.
runInterruptionAnnotator boolean: Whether to run the interruption annotator.
runIssueModelAnnotator boolean: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
runPhraseMatcherAnnotator boolean: Whether to run the active phrase matcher annotator(s).
runSentimentAnnotator boolean: Whether to run the sentiment annotator.
runSilenceAnnotator boolean: Whether to run the silence annotator.

issue_models Sequence[str]: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
phrase_matchers Sequence[str]: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
run_entity_annotator bool: Whether to run the entity annotator.
run_intent_annotator bool: Whether to run the intent annotator.
run_interruption_annotator bool: Whether to run the interruption annotator.
run_issue_model_annotator bool: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
run_phrase_matcher_annotator bool: Whether to run the active phrase matcher annotator(s).
run_sentiment_annotator bool: Whether to run the sentiment annotator.
run_silence_annotator bool: Whether to run the silence annotator.

issueModels List<String>: The issue model to run. If not provided, the most recently deployed topic model will be used. The provided issue model will only be used for inference if the issue model is deployed and if run_issue_model_annotator is set to true. If more than one issue model is provided, only the first provided issue model will be used for inference.
phraseMatchers List<String>: The list of phrase matchers to run. If not provided, all active phrase matchers will be used. If inactive phrase matchers are provided, they will not be used. Phrase matchers will be run only if run_phrase_matcher_annotator is set to true. Format: projects/{project}/locations/{location}/phraseMatchers/{phrase_matcher}
runEntityAnnotator Boolean: Whether to run the entity annotator.
runIntentAnnotator Boolean: Whether to run the intent annotator.
runInterruptionAnnotator Boolean: Whether to run the interruption annotator.
runIssueModelAnnotator Boolean: Whether to run the issue model annotator. A model should have already been deployed for this to take effect.
runPhraseMatcherAnnotator Boolean: Whether to run the active phrase matcher annotator(s).
runSentimentAnnotator Boolean: Whether to run the sentiment annotator.
runSilenceAnnotator Boolean: Whether to run the silence annotator.

GoogleCloudContactcenterinsightsV1CallAnnotationResponse

AnnotationEndBoundary Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation ends, inclusive.
AnnotationStartBoundary Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation starts, inclusive.
ChannelTag int: The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
EntityMentionData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1EntityMentionDataResponse: Data specifying an entity mention.
HoldData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1HoldDataResponse: Data specifying a hold.
IntentMatchData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1IntentMatchDataResponse: Data specifying an intent match.
InterruptionData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1InterruptionDataResponse: Data specifying an interruption.
IssueMatchData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1IssueMatchDataResponse: Data specifying an issue match.
PhraseMatchData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse: Data specifying a phrase match.
SentimentData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.
SilenceData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SilenceDataResponse: Data specifying silence.

AnnotationEndBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation ends, inclusive.
AnnotationStartBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation starts, inclusive.
ChannelTag int: The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
EntityMentionData GoogleCloudContactcenterinsightsV1EntityMentionDataResponse: Data specifying an entity mention.
HoldData GoogleCloudContactcenterinsightsV1HoldDataResponse: Data specifying a hold.
IntentMatchData GoogleCloudContactcenterinsightsV1IntentMatchDataResponse: Data specifying an intent match.
InterruptionData GoogleCloudContactcenterinsightsV1InterruptionDataResponse: Data specifying an interruption.
IssueMatchData GoogleCloudContactcenterinsightsV1IssueMatchDataResponse: Data specifying an issue match.
PhraseMatchData GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse: Data specifying a phrase match.
SentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.
SilenceData GoogleCloudContactcenterinsightsV1SilenceDataResponse: Data specifying silence.

annotationEndBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation ends, inclusive.
annotationStartBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation starts, inclusive.
channelTag Integer: The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
entityMentionData GoogleCloudContactcenterinsightsV1EntityMentionDataResponse: Data specifying an entity mention.
holdData GoogleCloudContactcenterinsightsV1HoldDataResponse: Data specifying a hold.
intentMatchData GoogleCloudContactcenterinsightsV1IntentMatchDataResponse: Data specifying an intent match.
interruptionData GoogleCloudContactcenterinsightsV1InterruptionDataResponse: Data specifying an interruption.
issueMatchData GoogleCloudContactcenterinsightsV1IssueMatchDataResponse: Data specifying an issue match.
phraseMatchData GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse: Data specifying a phrase match.
sentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.
silenceData GoogleCloudContactcenterinsightsV1SilenceDataResponse: Data specifying silence.

annotationEndBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation ends, inclusive.
annotationStartBoundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation starts, inclusive.
channelTag number: The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
entityMentionData GoogleCloudContactcenterinsightsV1EntityMentionDataResponse: Data specifying an entity mention.
holdData GoogleCloudContactcenterinsightsV1HoldDataResponse: Data specifying a hold.
intentMatchData GoogleCloudContactcenterinsightsV1IntentMatchDataResponse: Data specifying an intent match.
interruptionData GoogleCloudContactcenterinsightsV1InterruptionDataResponse: Data specifying an interruption.
issueMatchData GoogleCloudContactcenterinsightsV1IssueMatchDataResponse: Data specifying an issue match.
phraseMatchData GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse: Data specifying a phrase match.
sentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.
silenceData GoogleCloudContactcenterinsightsV1SilenceDataResponse: Data specifying silence.

annotation_end_boundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation ends, inclusive.
annotation_start_boundary GoogleCloudContactcenterinsightsV1AnnotationBoundaryResponse: The boundary in the conversation where the annotation starts, inclusive.
channel_tag int: The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
entity_mention_data GoogleCloudContactcenterinsightsV1EntityMentionDataResponse: Data specifying an entity mention.
hold_data GoogleCloudContactcenterinsightsV1HoldDataResponse: Data specifying a hold.
intent_match_data GoogleCloudContactcenterinsightsV1IntentMatchDataResponse: Data specifying an intent match.
interruption_data GoogleCloudContactcenterinsightsV1InterruptionDataResponse: Data specifying an interruption.
issue_match_data GoogleCloudContactcenterinsightsV1IssueMatchDataResponse: Data specifying an issue match.
phrase_match_data GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse: Data specifying a phrase match.
sentiment_data GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.
silence_data GoogleCloudContactcenterinsightsV1SilenceDataResponse: Data specifying silence.

annotationEndBoundary Property Map: The boundary in the conversation where the annotation ends, inclusive.
annotationStartBoundary Property Map: The boundary in the conversation where the annotation starts, inclusive.
channelTag Number: The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated.
entityMentionData Property Map: Data specifying an entity mention.
holdData Property Map: Data specifying a hold.
intentMatchData Property Map: Data specifying an intent match.
interruptionData Property Map: Data specifying an interruption.
issueMatchData Property Map: Data specifying an issue match.
phraseMatchData Property Map: Data specifying a phrase match.
sentimentData Property Map: Data specifying sentiment.
silenceData Property Map: Data specifying silence.

GoogleCloudContactcenterinsightsV1ConversationLevelSentimentResponse

ChannelTag int: The channel of the audio that the data applies to.
SentimentData Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.

ChannelTag int: The channel of the audio that the data applies to.
SentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.

channelTag Integer: The channel of the audio that the data applies to.
sentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.

channelTag number: The channel of the audio that the data applies to.
sentimentData GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.

channel_tag int: The channel of the audio that the data applies to.
sentiment_data GoogleCloudContactcenterinsightsV1SentimentDataResponse: Data specifying sentiment.

channelTag Number: The channel of the audio that the data applies to.
sentimentData Property Map: Data specifying sentiment.

GoogleCloudContactcenterinsightsV1EntityMentionDataResponse

EntityUniqueId string: The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
Sentiment Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1SentimentDataResponse: Sentiment expressed for this mention of the entity.
Type string: The type of the entity mention.

EntityUniqueId string: The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
Sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse: Sentiment expressed for this mention of the entity.
Type string: The type of the entity mention.

entityUniqueId String: The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse: Sentiment expressed for this mention of the entity.
type String: The type of the entity mention.

entityUniqueId string: The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse: Sentiment expressed for this mention of the entity.
type string: The type of the entity mention.

entity_unique_id str: The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
sentiment GoogleCloudContactcenterinsightsV1SentimentDataResponse: Sentiment expressed for this mention of the entity.
type str: The type of the entity mention.

entityUniqueId String: The key of this entity in conversation entities. Can be used to retrieve the exact Entity this mention is attached to.
sentiment Property Map: Sentiment expressed for this mention of the entity.
type String: The type of the entity mention.

GoogleCloudContactcenterinsightsV1IntentMatchDataResponse

IntentUniqueId string: The id of the matched intent. Can be used to retrieve the corresponding intent information.

IntentUniqueId string: The id of the matched intent. Can be used to retrieve the corresponding intent information.

intentUniqueId String: The id of the matched intent. Can be used to retrieve the corresponding intent information.

intentUniqueId string: The id of the matched intent. Can be used to retrieve the corresponding intent information.

intent_unique_id str: The id of the matched intent. Can be used to retrieve the corresponding intent information.

intentUniqueId String: The id of the matched intent. Can be used to retrieve the corresponding intent information.

GoogleCloudContactcenterinsightsV1IssueAssignmentResponse

DisplayName string: Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
Issue string: Resource name of the assigned issue.
Score double: Score indicating the likelihood of the issue assignment. currently bounded on [0,1].

DisplayName string: Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
Issue string: Resource name of the assigned issue.
Score float64: Score indicating the likelihood of the issue assignment. currently bounded on [0,1].

displayName String: Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
issue String: Resource name of the assigned issue.
score Double: Score indicating the likelihood of the issue assignment. currently bounded on [0,1].

displayName string: Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
issue string: Resource name of the assigned issue.
score number: Score indicating the likelihood of the issue assignment. currently bounded on [0,1].

display_name str: Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
issue str: Resource name of the assigned issue.
score float: Score indicating the likelihood of the issue assignment. currently bounded on [0,1].

displayName String: Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then.
issue String: Resource name of the assigned issue.
score Number: Score indicating the likelihood of the issue assignment. currently bounded on [0,1].

GoogleCloudContactcenterinsightsV1IssueMatchDataResponse

IssueAssignment Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: Information about the issue's assignment.

IssueAssignment GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: Information about the issue's assignment.

issueAssignment GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: Information about the issue's assignment.

issueAssignment GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: Information about the issue's assignment.

issue_assignment GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: Information about the issue's assignment.

issueAssignment Property Map: Information about the issue's assignment.

GoogleCloudContactcenterinsightsV1IssueModelResultResponse

IssueModel string: Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
Issues List<Pulumi.GoogleNative.Contactcenterinsights.V1.Inputs.GoogleCloudContactcenterinsightsV1IssueAssignmentResponse>: All the matched issues.

IssueModel string: Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
Issues []GoogleCloudContactcenterinsightsV1IssueAssignmentResponse: All the matched issues.

issueModel String: Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
issues List<GoogleCloudContactcenterinsightsV1IssueAssignmentResponse>: All the matched issues.

issueModel string: Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
issues GoogleCloudContactcenterinsightsV1IssueAssignmentResponse[]: All the matched issues.

issue_model str: Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
issues Sequence[GoogleCloudContactcenterinsightsV1IssueAssignmentResponse]: All the matched issues.

issueModel String: Issue model that generates the result. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
issues List<Property Map>: All the matched issues.

GoogleCloudContactcenterinsightsV1PhraseMatchDataResponse

DisplayName string: The human-readable name of the phrase matcher.
PhraseMatcher string: The unique identifier (the resource name) of the phrase matcher.

DisplayName string: The human-readable name of the phrase matcher.
PhraseMatcher string: The unique identifier (the resource name) of the phrase matcher.

displayName String: The human-readable name of the phrase matcher.
phraseMatcher String: The unique identifier (the resource name) of the phrase matcher.

displayName string: The human-readable name of the phrase matcher.
phraseMatcher string: The unique identifier (the resource name) of the phrase matcher.

display_name str: The human-readable name of the phrase matcher.
phrase_matcher str: The unique identifier (the resource name) of the phrase matcher.

displayName String: The human-readable name of the phrase matcher.
phraseMatcher String: The unique identifier (the resource name) of the phrase matcher.

GoogleCloudContactcenterinsightsV1SentimentDataResponse

Magnitude double: A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
Score double: The sentiment score between -1.0 (negative) and 1.0 (positive).

Magnitude float64: A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
Score float64: The sentiment score between -1.0 (negative) and 1.0 (positive).

magnitude Double: A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
score Double: The sentiment score between -1.0 (negative) and 1.0 (positive).

magnitude number: A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
score number: The sentiment score between -1.0 (negative) and 1.0 (positive).

magnitude float: A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
score float: The sentiment score between -1.0 (negative) and 1.0 (positive).

magnitude Number: A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score.
score Number: The sentiment score between -1.0 (negative) and 1.0 (positive).

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0