1<html><body> 2<style> 3 4body, h1, h2, h3, div, span, p, pre, a { 5 margin: 0; 6 padding: 0; 7 border: 0; 8 font-weight: inherit; 9 font-style: inherit; 10 font-size: 100%; 11 font-family: inherit; 12 vertical-align: baseline; 13} 14 15body { 16 font-size: 13px; 17 padding: 1em; 18} 19 20h1 { 21 font-size: 26px; 22 margin-bottom: 1em; 23} 24 25h2 { 26 font-size: 24px; 27 margin-bottom: 1em; 28} 29 30h3 { 31 font-size: 20px; 32 margin-bottom: 1em; 33 margin-top: 1em; 34} 35 36pre, code { 37 line-height: 1.5; 38 font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace; 39} 40 41pre { 42 margin-top: 0.5em; 43} 44 45h1, h2, h3, p { 46 font-family: Arial, sans serif; 47} 48 49h1, h2, h3 { 50 border-bottom: solid #CCC 1px; 51} 52 53.toc_element { 54 margin-top: 0.5em; 55} 56 57.firstline { 58 margin-left: 2 em; 59} 60 61.method { 62 margin-top: 1em; 63 border: solid 1px #CCC; 64 padding: 1em; 65 background: #EEE; 66} 67 68.details { 69 font-weight: bold; 70 font-size: 14px; 71} 72 73</style> 74 75<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> 76<h2>Instance Methods</h2> 77<p class="toc_element"> 78 <code><a href="#close">close()</a></code></p> 79<p class="firstline">Close httplib2 connections.</p> 80<p class="toc_element"> 81 <code><a href="#create">create(parent, body=None, x__xgafv=None)</a></code></p> 82<p class="firstline">Creates an analysis. The long running operation is done when the analysis has completed.</p> 83<p class="toc_element"> 84 <code><a href="#delete">delete(name, x__xgafv=None)</a></code></p> 85<p class="firstline">Deletes an analysis.</p> 86<p class="toc_element"> 87 <code><a href="#get">get(name, x__xgafv=None)</a></code></p> 88<p class="firstline">Gets an analysis.</p> 89<p class="toc_element"> 90 <code><a href="#list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p> 91<p class="firstline">Lists analyses.</p> 92<p class="toc_element"> 93 <code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p> 94<p class="firstline">Retrieves the next page of results.</p> 95<h3>Method Details</h3> 96<div class="method"> 97 <code class="details" id="close">close()</code> 98 <pre>Close httplib2 connections.</pre> 99</div> 100 101<div class="method"> 102 <code class="details" id="create">create(parent, body=None, x__xgafv=None)</code> 103 <pre>Creates an analysis. The long running operation is done when the analysis has completed. 104 105Args: 106 parent: string, Required. The parent resource of the analysis. (required) 107 body: object, The request body. 108 The object takes the form of: 109 110{ # The analysis resource. 111 "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. 112 "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. 113 "annotations": [ # A list of call annotations that apply to this call. 114 { # A piece of metadata that applies to a window of a call. 115 "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. 116 "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. 117 "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. 118 }, 119 "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. 120 "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. 121 "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. 122 }, 123 "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. 124 "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. 125 "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. 126 "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. 127 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 128 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 129 }, 130 "type": "A String", # The type of the entity mention. 131 }, 132 "holdData": { # The data for a hold annotation. # Data specifying a hold. 133 }, 134 "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. 135 "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. 136 }, 137 "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. 138 }, 139 "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. 140 "displayName": "A String", # The human-readable name of the phrase matcher. 141 "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. 142 }, 143 "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. 144 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 145 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 146 }, 147 "silenceData": { # The data for a silence annotation. # Data specifying silence. 148 }, 149 }, 150 ], 151 "entities": { # All the entities in the call. 152 "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. 153 "displayName": "A String", # The representative name for the entity. 154 "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. 155 "a_key": "A String", 156 }, 157 "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. 158 "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. 159 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 160 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 161 }, 162 "type": "A String", # The entity type. 163 }, 164 }, 165 "intents": { # All the matched intents in the call. 166 "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. 167 "displayName": "A String", # The human-readable name of the intent. 168 "id": "A String", # The unique identifier of the intent. 169 }, 170 }, 171 "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. 172 "issueModel": "A String", # Issue model that generates the result. 173 "issues": [ # All the matched issues. 174 { # Information about the issue. 175 "displayName": "A String", # Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then. 176 "issue": "A String", # Resource name of the assigned issue. 177 "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. 178 }, 179 ], 180 }, 181 "phraseMatchers": { # All the matched phrase matchers in the call. 182 "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. 183 "displayName": "A String", # The human-readable name of the phrase matcher. 184 "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. 185 }, 186 }, 187 "sentiments": [ # Overall conversation-level sentiment for each channel of the call. 188 { # One channel of conversation-level sentiment data. 189 "channelTag": 42, # The channel of the audio that the data applies to. 190 "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. 191 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 192 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 193 }, 194 }, 195 ], 196 }, 197 "endTime": "A String", # The time at which the analysis ended. 198 }, 199 "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. 200 "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} 201 "requestTime": "A String", # Output only. The time at which the analysis was requested. 202} 203 204 x__xgafv: string, V1 error format. 205 Allowed values 206 1 - v1 error format 207 2 - v2 error format 208 209Returns: 210 An object of the form: 211 212 { # This resource represents a long-running operation that is the result of a network API call. 213 "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. 214 "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. 215 "code": 42, # The status code, which should be an enum value of google.rpc.Code. 216 "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use. 217 { 218 "a_key": "", # Properties of the object. Contains field @type with type URL. 219 }, 220 ], 221 "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. 222 }, 223 "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. 224 "a_key": "", # Properties of the object. Contains field @type with type URL. 225 }, 226 "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}`. 227 "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`. 228 "a_key": "", # Properties of the object. Contains field @type with type URL. 229 }, 230}</pre> 231</div> 232 233<div class="method"> 234 <code class="details" id="delete">delete(name, x__xgafv=None)</code> 235 <pre>Deletes an analysis. 236 237Args: 238 name: string, Required. The name of the analysis to delete. (required) 239 x__xgafv: string, V1 error format. 240 Allowed values 241 1 - v1 error format 242 2 - v2 error format 243 244Returns: 245 An object of the form: 246 247 { # 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 `{}`. 248}</pre> 249</div> 250 251<div class="method"> 252 <code class="details" id="get">get(name, x__xgafv=None)</code> 253 <pre>Gets an analysis. 254 255Args: 256 name: string, Required. The name of the analysis to get. (required) 257 x__xgafv: string, V1 error format. 258 Allowed values 259 1 - v1 error format 260 2 - v2 error format 261 262Returns: 263 An object of the form: 264 265 { # The analysis resource. 266 "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. 267 "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. 268 "annotations": [ # A list of call annotations that apply to this call. 269 { # A piece of metadata that applies to a window of a call. 270 "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. 271 "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. 272 "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. 273 }, 274 "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. 275 "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. 276 "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. 277 }, 278 "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. 279 "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. 280 "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. 281 "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. 282 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 283 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 284 }, 285 "type": "A String", # The type of the entity mention. 286 }, 287 "holdData": { # The data for a hold annotation. # Data specifying a hold. 288 }, 289 "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. 290 "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. 291 }, 292 "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. 293 }, 294 "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. 295 "displayName": "A String", # The human-readable name of the phrase matcher. 296 "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. 297 }, 298 "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. 299 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 300 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 301 }, 302 "silenceData": { # The data for a silence annotation. # Data specifying silence. 303 }, 304 }, 305 ], 306 "entities": { # All the entities in the call. 307 "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. 308 "displayName": "A String", # The representative name for the entity. 309 "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. 310 "a_key": "A String", 311 }, 312 "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. 313 "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. 314 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 315 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 316 }, 317 "type": "A String", # The entity type. 318 }, 319 }, 320 "intents": { # All the matched intents in the call. 321 "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. 322 "displayName": "A String", # The human-readable name of the intent. 323 "id": "A String", # The unique identifier of the intent. 324 }, 325 }, 326 "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. 327 "issueModel": "A String", # Issue model that generates the result. 328 "issues": [ # All the matched issues. 329 { # Information about the issue. 330 "displayName": "A String", # Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then. 331 "issue": "A String", # Resource name of the assigned issue. 332 "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. 333 }, 334 ], 335 }, 336 "phraseMatchers": { # All the matched phrase matchers in the call. 337 "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. 338 "displayName": "A String", # The human-readable name of the phrase matcher. 339 "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. 340 }, 341 }, 342 "sentiments": [ # Overall conversation-level sentiment for each channel of the call. 343 { # One channel of conversation-level sentiment data. 344 "channelTag": 42, # The channel of the audio that the data applies to. 345 "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. 346 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 347 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 348 }, 349 }, 350 ], 351 }, 352 "endTime": "A String", # The time at which the analysis ended. 353 }, 354 "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. 355 "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} 356 "requestTime": "A String", # Output only. The time at which the analysis was requested. 357}</pre> 358</div> 359 360<div class="method"> 361 <code class="details" id="list">list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)</code> 362 <pre>Lists analyses. 363 364Args: 365 parent: string, Required. The parent resource of the analyses. (required) 366 filter: string, A filter to reduce results to a specific subset. Useful for querying conversations with specific properties. 367 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. 368 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. 369 x__xgafv: string, V1 error format. 370 Allowed values 371 1 - v1 error format 372 2 - v2 error format 373 374Returns: 375 An object of the form: 376 377 { # The response to list analyses. 378 "analyses": [ # The analyses that match the request. 379 { # The analysis resource. 380 "analysisResult": { # The result of an analysis. # Output only. The result of the analysis, which is populated when the analysis finishes. 381 "callAnalysisMetadata": { # Call-specific metadata created during analysis. # Call-specific metadata created by the analysis. 382 "annotations": [ # A list of call annotations that apply to this call. 383 { # A piece of metadata that applies to a window of a call. 384 "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. 385 "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. 386 "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. 387 }, 388 "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. 389 "transcriptIndex": 42, # The index in the sequence of transcribed pieces of the conversation where the boundary is located. This index starts at zero. 390 "wordIndex": 42, # The word index of this boundary with respect to the first word in the transcript piece. This index starts at zero. 391 }, 392 "channelTag": 42, # The channel of the audio where the annotation occurs. For single-channel audio, this field is not populated. 393 "entityMentionData": { # The data for an entity mention annotation. This represents a mention of an `Entity` in the conversation. # Data specifying an entity mention. 394 "entityUniqueId": "A String", # The key of this entity in conversation entities. Can be used to retrieve the exact `Entity` this mention is attached to. 395 "sentiment": { # The data for a sentiment annotation. # Sentiment expressed for this mention of the entity. 396 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 397 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 398 }, 399 "type": "A String", # The type of the entity mention. 400 }, 401 "holdData": { # The data for a hold annotation. # Data specifying a hold. 402 }, 403 "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. 404 "intentUniqueId": "A String", # The id of the matched intent. Can be used to retrieve the corresponding intent information. 405 }, 406 "interruptionData": { # The data for an interruption annotation. # Data specifying an interruption. 407 }, 408 "phraseMatchData": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. # Data specifying a phrase match. 409 "displayName": "A String", # The human-readable name of the phrase matcher. 410 "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. 411 }, 412 "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. 413 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 414 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 415 }, 416 "silenceData": { # The data for a silence annotation. # Data specifying silence. 417 }, 418 }, 419 ], 420 "entities": { # All the entities in the call. 421 "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. 422 "displayName": "A String", # The representative name for the entity. 423 "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. 424 "a_key": "A String", 425 }, 426 "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. 427 "sentiment": { # The data for a sentiment annotation. # The aggregate sentiment expressed for this entity in the conversation. 428 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 429 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 430 }, 431 "type": "A String", # The entity type. 432 }, 433 }, 434 "intents": { # All the matched intents in the call. 435 "a_key": { # The data for an intent. Represents a detected intent in the conversation, for example MAKES_PROMISE. 436 "displayName": "A String", # The human-readable name of the intent. 437 "id": "A String", # The unique identifier of the intent. 438 }, 439 }, 440 "issueModelResult": { # Issue Modeling result on a conversation. # Overall conversation-level issue modeling result. 441 "issueModel": "A String", # Issue model that generates the result. 442 "issues": [ # All the matched issues. 443 { # Information about the issue. 444 "displayName": "A String", # Immutable. Display name of the assigned issue. This field is set at time of analyis and immutable since then. 445 "issue": "A String", # Resource name of the assigned issue. 446 "score": 3.14, # Score indicating the likelihood of the issue assignment. currently bounded on [0,1]. 447 }, 448 ], 449 }, 450 "phraseMatchers": { # All the matched phrase matchers in the call. 451 "a_key": { # The data for a matched phrase matcher. Represents information identifying a phrase matcher for a given match. 452 "displayName": "A String", # The human-readable name of the phrase matcher. 453 "phraseMatcher": "A String", # The unique identifier (the resource name) of the phrase matcher. 454 }, 455 }, 456 "sentiments": [ # Overall conversation-level sentiment for each channel of the call. 457 { # One channel of conversation-level sentiment data. 458 "channelTag": 42, # The channel of the audio that the data applies to. 459 "sentimentData": { # The data for a sentiment annotation. # Data specifying sentiment. 460 "magnitude": 3.14, # A non-negative number from 0 to infinity which represents the abolute magnitude of sentiment regardless of score. 461 "score": 3.14, # The sentiment score between -1.0 (negative) and 1.0 (positive). 462 }, 463 }, 464 ], 465 }, 466 "endTime": "A String", # The time at which the analysis ended. 467 }, 468 "createTime": "A String", # Output only. The time at which the analysis was created, which occurs when the long-running operation completes. 469 "name": "A String", # Immutable. The resource name of the analysis. Format: projects/{project}/locations/{location}/conversations/{conversation}/analyses/{analysis} 470 "requestTime": "A String", # Output only. The time at which the analysis was requested. 471 }, 472 ], 473 "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. 474}</pre> 475</div> 476 477<div class="method"> 478 <code class="details" id="list_next">list_next(previous_request, previous_response)</code> 479 <pre>Retrieves the next page of results. 480 481Args: 482 previous_request: The request for the previous page. (required) 483 previous_response: The response from the request for the previous page. (required) 484 485Returns: 486 A request object that you can call 'execute()' on to request the next 487 page. Returns None if there are no more items in the collection. 488 </pre> 489</div> 490 491</body></html>