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| <h1><a href="contactcenterinsights_v1.html">Contact Center AI Insights API</a> . <a href="contactcenterinsights_v1.projects.html">projects</a> . <a href="contactcenterinsights_v1.projects.locations.html">locations</a> . <a href="contactcenterinsights_v1.projects.locations.conversations.html">conversations</a> . <a href="contactcenterinsights_v1.projects.locations.conversations.analyses.html">analyses</a></h1> |
| <h2>Instance Methods</h2> |
| <p class="toc_element"> |
| <code><a href="#close">close()</a></code></p> |
| <p class="firstline">Close httplib2 connections.</p> |
| <p class="toc_element"> |
| <code><a href="#create">create(parent, body=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Creates an analysis. The long running operation is done when the analysis has completed.</p> |
| <p class="toc_element"> |
| <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p> |
| <p class="firstline">Deletes an analysis.</p> |
| <p class="toc_element"> |
| <code><a href="#get">get(name, x__xgafv=None)</a></code></p> |
| <p class="firstline">Gets an analysis.</p> |
| <p class="toc_element"> |
| <code><a href="#list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p> |
| <p class="firstline">Lists analyses.</p> |
| <p class="toc_element"> |
| <code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p> |
| <p class="firstline">Retrieves the next page of results.</p> |
| <h3>Method Details</h3> |
| <div class="method"> |
| <code class="details" id="close">close()</code> |
| <pre>Close httplib2 connections.</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="create">create(parent, body=None, x__xgafv=None)</code> |
| <pre>Creates an analysis. The long running operation is done when the analysis has completed. |
| |
| Args: |
| parent: string, Required. The parent resource of the analysis. (required) |
| body: object, The request body. |
| The object takes the form of: |
| |
| { # The analysis resource. |
| "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. |
| "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. |
| "annotations": [ # A list of call annotations that apply to this call. |
| { # A piece of metadata that applies to a window of a call. |
| "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. |
| "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. |
| "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. |
| "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The type of the entity mention. |
| }, |
| "holdData": { # The data for a hold annotation. # Data specifying a hold. |
| }, |
| "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match. |
| "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. |
| }, |
| "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. |
| }, |
| "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "silenceData": { # The data for a silence annotation. # Data specifying silence. |
| }, |
| }, |
| ], |
| "entities": { # All the entities in the call. |
| "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location. |
| "displayName": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below. |
| "a_key": "A String", |
| }, |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient. |
| "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The entity type. |
| }, |
| }, |
| "intents": { # All the matched intents in the call. |
| "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| "id": "A String", # The unique identifier of the intent. |
| }, |
| }, |
| "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. |
| "issueModel": "A String", # Issue model that generates the result. |
| "issues": [ # All the matched issues. |
| { # Information about the issue. |
| "displayName": "A String", # Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then. |
| "issue": "A String", # Resource name of the assigned issue. |
| "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. |
| }, |
| ], |
| }, |
| "phraseMatchers": { # All the matched phrase matchers in the call. |
| "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| }, |
| "sentiments": [ # Overall conversation-level sentiment for each channel of the call. |
| { # One channel of conversation-level sentiment data. |
| "channelTag": 42, # The channel of the audio that the data applies to. |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| }, |
| ], |
| }, |
| "endTime": "A String", # The time at which the analysis ended. |
| }, |
| "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. |
| "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} |
| "requestTime": "A String", # Output only. The time at which the analysis was requested. |
| } |
| |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # This resource represents a long-running operation that is the result of a network API call. |
| "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. |
| "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation. |
| "code": 42, # The status code, which should be an enum value of google.rpc.Code. |
| "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. |
| { |
| "a_key": "", # Properties of the object. Contains field @type with type URL. |
| }, |
| ], |
| "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. |
| }, |
| "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. |
| "a_key": "", # Properties of the object. Contains field @type with type URL. |
| }, |
| "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. |
| "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. |
| "a_key": "", # Properties of the object. Contains field @type with type URL. |
| }, |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="delete">delete(name, x__xgafv=None)</code> |
| <pre>Deletes an analysis. |
| |
| Args: |
| name: string, Required. The name of the analysis to delete. (required) |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="get">get(name, x__xgafv=None)</code> |
| <pre>Gets an analysis. |
| |
| Args: |
| name: string, Required. The name of the analysis to get. (required) |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # The analysis resource. |
| "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. |
| "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. |
| "annotations": [ # A list of call annotations that apply to this call. |
| { # A piece of metadata that applies to a window of a call. |
| "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. |
| "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. |
| "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. |
| "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The type of the entity mention. |
| }, |
| "holdData": { # The data for a hold annotation. # Data specifying a hold. |
| }, |
| "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match. |
| "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. |
| }, |
| "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. |
| }, |
| "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "silenceData": { # The data for a silence annotation. # Data specifying silence. |
| }, |
| }, |
| ], |
| "entities": { # All the entities in the call. |
| "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location. |
| "displayName": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below. |
| "a_key": "A String", |
| }, |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient. |
| "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The entity type. |
| }, |
| }, |
| "intents": { # All the matched intents in the call. |
| "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| "id": "A String", # The unique identifier of the intent. |
| }, |
| }, |
| "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. |
| "issueModel": "A String", # Issue model that generates the result. |
| "issues": [ # All the matched issues. |
| { # Information about the issue. |
| "displayName": "A String", # Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then. |
| "issue": "A String", # Resource name of the assigned issue. |
| "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. |
| }, |
| ], |
| }, |
| "phraseMatchers": { # All the matched phrase matchers in the call. |
| "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| }, |
| "sentiments": [ # Overall conversation-level sentiment for each channel of the call. |
| { # One channel of conversation-level sentiment data. |
| "channelTag": 42, # The channel of the audio that the data applies to. |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| }, |
| ], |
| }, |
| "endTime": "A String", # The time at which the analysis ended. |
| }, |
| "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. |
| "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} |
| "requestTime": "A String", # Output only. The time at which the analysis was requested. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</code> |
| <pre>Lists analyses. |
| |
| Args: |
| parent: string, Required. The parent resource of the analyses. (required) |
| filter: string, A filter to reduce results to a specific subset. Useful for querying conversations with specific properties. |
| pageSize: integer, The maximum number of analyses to return in the response. If this value is zero, the service will select a default size. A call might return fewer objects than requested. A non-empty `next_page_token` in the response indicates that more data is available. |
| pageToken: string, The value returned by the last `ListAnalysesResponse`; indicates that this is a continuation of a prior `ListAnalyses` call and the system should return the next page of data. |
| x__xgafv: string, V1 error format. |
| Allowed values |
| 1 - v1 error format |
| 2 - v2 error format |
| |
| Returns: |
| An object of the form: |
| |
| { # The response to list analyses. |
| "analyses": [ # The analyses that match the request. |
| { # The analysis resource. |
| "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. |
| "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. |
| "annotations": [ # A list of call annotations that apply to this call. |
| { # A piece of metadata that applies to a window of a call. |
| "annotationEndBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation ends, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "annotationStartBoundary": { # A point in a conversation that marks the start or the end of an annotation. # The boundary in the conversation where the annotation starts, inclusive. |
| "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. |
| "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. |
| }, |
| "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. |
| "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. |
| "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. |
| "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The type of the entity mention. |
| }, |
| "holdData": { # The data for a hold annotation. # Data specifying a hold. |
| }, |
| "intentMatchData": { # The data for an intent match. Represents an intent match for a text segment in the conversation. A text segment can be part of a sentence, a complete sentence, or an utterance with multiple sentences. # Data specifying an intent match. |
| "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. |
| }, |
| "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. |
| }, |
| "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "silenceData": { # The data for a silence annotation. # Data specifying silence. |
| }, |
| }, |
| ], |
| "entities": { # All the entities in the call. |
| "a_key": { # The data for an entity annotation. Represents a phrase in the conversation that is a known entity, such as a person, an organization, or location. |
| "displayName": "A String", # The representative name for the entity. |
| "metadata": { # Metadata associated with the entity. For most entity types, the metadata is a Wikipedia URL (`wikipedia_url`) and Knowledge Graph MID (`mid`), if they are available. For the metadata associated with other entity types, see the Type table below. |
| "a_key": "A String", |
| }, |
| "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. The salience score for an entity provides information about the importance or centrality of that entity to the entire document text. Scores closer to 0 are less salient, while scores closer to 1.0 are highly salient. |
| "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| "type": "A String", # The entity type. |
| }, |
| }, |
| "intents": { # All the matched intents in the call. |
| "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. |
| "displayName": "A String", # The human-readable name of the intent. |
| "id": "A String", # The unique identifier of the intent. |
| }, |
| }, |
| "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. |
| "issueModel": "A String", # Issue model that generates the result. |
| "issues": [ # All the matched issues. |
| { # Information about the issue. |
| "displayName": "A String", # Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then. |
| "issue": "A String", # Resource name of the assigned issue. |
| "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. |
| }, |
| ], |
| }, |
| "phraseMatchers": { # All the matched phrase matchers in the call. |
| "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. |
| "displayName": "A String", # The human-readable name of the phrase matcher. |
| "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. |
| }, |
| }, |
| "sentiments": [ # Overall conversation-level sentiment for each channel of the call. |
| { # One channel of conversation-level sentiment data. |
| "channelTag": 42, # The channel of the audio that the data applies to. |
| "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. |
| "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. |
| "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). |
| }, |
| }, |
| ], |
| }, |
| "endTime": "A String", # The time at which the analysis ended. |
| }, |
| "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. |
| "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} |
| "requestTime": "A String", # Output only. The time at which the analysis was requested. |
| }, |
| ], |
| "nextPageToken": "A String", # A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. |
| }</pre> |
| </div> |
| |
| <div class="method"> |
| <code class="details" id="list_next">list_next(previous_request, previous_response)</code> |
| <pre>Retrieves the next page of results. |
| |
| Args: |
| previous_request: The request for the previous page. (required) |
| previous_response: The response from the request for the previous page. (required) |
| |
| Returns: |
| A request object that you can call 'execute()' on to request the next |
| page. Returns None if there are no more items in the collection. |
| </pre> |
| </div> |
| |
| </body></html> |
