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="language_v1beta2.html">Google Cloud Natural Language API</a> . <a href="language_v1beta2.documents.html">documents</a></h1> 76<h2>Instance Methods</h2> 77<p class="toc_element"> 78 <code><a href="#analyzeEntities">analyzeEntities(body, x__xgafv=None)</a></code></p> 79<p class="firstline">Finds named entities (currently proper names and common nouns) in the text</p> 80<p class="toc_element"> 81 <code><a href="#analyzeEntitySentiment">analyzeEntitySentiment(body, x__xgafv=None)</a></code></p> 82<p class="firstline">Finds entities, similar to AnalyzeEntities in the text and analyzes</p> 83<p class="toc_element"> 84 <code><a href="#analyzeSentiment">analyzeSentiment(body, x__xgafv=None)</a></code></p> 85<p class="firstline">Analyzes the sentiment of the provided text.</p> 86<p class="toc_element"> 87 <code><a href="#analyzeSyntax">analyzeSyntax(body, x__xgafv=None)</a></code></p> 88<p class="firstline">Analyzes the syntax of the text and provides sentence boundaries and</p> 89<p class="toc_element"> 90 <code><a href="#annotateText">annotateText(body, x__xgafv=None)</a></code></p> 91<p class="firstline">A convenience method that provides all syntax, sentiment, entity, and</p> 92<h3>Method Details</h3> 93<div class="method"> 94 <code class="details" id="analyzeEntities">analyzeEntities(body, x__xgafv=None)</code> 95 <pre>Finds named entities (currently proper names and common nouns) in the text 96along with entity types, salience, mentions for each entity, and 97other properties. 98 99Args: 100 body: object, The request body. (required) 101 The object takes the form of: 102 103{ # The entity analysis request message. 104 "document": { # ################################################################ # # Input document. 105 # 106 # Represents the input to API methods. 107 "content": "A String", # The content of the input in string format. 108 "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, 109 # returns an `INVALID_ARGUMENT` error. 110 "language": "A String", # The language of the document (if not specified, the language is 111 # automatically detected). Both ISO and BCP-47 language codes are 112 # accepted.<br> 113 # [Language Support](/natural-language/docs/languages) 114 # lists currently supported languages for each API method. 115 # If the language (either specified by the caller or automatically detected) 116 # is not supported by the called API method, an `INVALID_ARGUMENT` error 117 # is returned. 118 "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. 119 # This URI must be of the form: gs://bucket_name/object_name. For more 120 # details, see https://cloud.google.com/storage/docs/reference-uris. 121 # NOTE: Cloud Storage object versioning is not supported. 122 }, 123 "encodingType": "A String", # The encoding type used by the API to calculate offsets. 124 } 125 126 x__xgafv: string, V1 error format. 127 Allowed values 128 1 - v1 error format 129 2 - v2 error format 130 131Returns: 132 An object of the form: 133 134 { # The entity analysis response message. 135 "entities": [ # The recognized entities in the input document. 136 { # Represents a phrase in the text that is a known entity, such as 137 # a person, an organization, or location. The API associates information, such 138 # as salience and mentions, with entities. 139 "name": "A String", # The representative name for the entity. 140 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if 141 # AnnotateTextRequest.Features.extract_entity_sentiment is set to 142 # true, this field will contain the aggregate sentiment expressed for this 143 # entity in the provided document. 144 # the text. 145 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 146 # (positive sentiment). 147 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 148 # the absolute magnitude of sentiment regardless of score (positive or 149 # negative). 150 }, 151 "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. 152 # 153 # The salience score for an entity provides information about the 154 # importance or centrality of that entity to the entire document text. 155 # Scores closer to 0 are less salient, while scores closer to 1.0 are highly 156 # salient. 157 "mentions": [ # The mentions of this entity in the input document. The API currently 158 # supports proper noun mentions. 159 { # Represents a mention for an entity in the text. Currently, proper noun 160 # mentions are supported. 161 "text": { # Represents an output piece of text. # The mention text. 162 "content": "A String", # The content of the output text. 163 "beginOffset": 42, # The API calculates the beginning offset of the content in the original 164 # document according to the EncodingType specified in the API request. 165 }, 166 "type": "A String", # The type of the entity mention. 167 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if 168 # AnnotateTextRequest.Features.extract_entity_sentiment is set to 169 # true, this field will contain the sentiment expressed for this mention of 170 # the entity in the provided document. 171 # the text. 172 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 173 # (positive sentiment). 174 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 175 # the absolute magnitude of sentiment regardless of score (positive or 176 # negative). 177 }, 178 }, 179 ], 180 "type": "A String", # The entity type. 181 "metadata": { # Metadata associated with the entity. 182 # 183 # Currently, Wikipedia URLs and Knowledge Graph MIDs are provided, if 184 # available. The associated keys are "wikipedia_url" and "mid", respectively. 185 "a_key": "A String", 186 }, 187 }, 188 ], 189 "language": "A String", # The language of the text, which will be the same as the language specified 190 # in the request or, if not specified, the automatically-detected language. 191 # See Document.language field for more details. 192 }</pre> 193</div> 194 195<div class="method"> 196 <code class="details" id="analyzeEntitySentiment">analyzeEntitySentiment(body, x__xgafv=None)</code> 197 <pre>Finds entities, similar to AnalyzeEntities in the text and analyzes 198sentiment associated with each entity and its mentions. 199 200Args: 201 body: object, The request body. (required) 202 The object takes the form of: 203 204{ # The entity-level sentiment analysis request message. 205 "encodingType": "A String", # The encoding type used by the API to calculate offsets. 206 "document": { # ################################################################ # # Input document. 207 # 208 # Represents the input to API methods. 209 "content": "A String", # The content of the input in string format. 210 "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, 211 # returns an `INVALID_ARGUMENT` error. 212 "language": "A String", # The language of the document (if not specified, the language is 213 # automatically detected). Both ISO and BCP-47 language codes are 214 # accepted.<br> 215 # [Language Support](/natural-language/docs/languages) 216 # lists currently supported languages for each API method. 217 # If the language (either specified by the caller or automatically detected) 218 # is not supported by the called API method, an `INVALID_ARGUMENT` error 219 # is returned. 220 "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. 221 # This URI must be of the form: gs://bucket_name/object_name. For more 222 # details, see https://cloud.google.com/storage/docs/reference-uris. 223 # NOTE: Cloud Storage object versioning is not supported. 224 }, 225 } 226 227 x__xgafv: string, V1 error format. 228 Allowed values 229 1 - v1 error format 230 2 - v2 error format 231 232Returns: 233 An object of the form: 234 235 { # The entity-level sentiment analysis response message. 236 "entities": [ # The recognized entities in the input document with associated sentiments. 237 { # Represents a phrase in the text that is a known entity, such as 238 # a person, an organization, or location. The API associates information, such 239 # as salience and mentions, with entities. 240 "name": "A String", # The representative name for the entity. 241 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if 242 # AnnotateTextRequest.Features.extract_entity_sentiment is set to 243 # true, this field will contain the aggregate sentiment expressed for this 244 # entity in the provided document. 245 # the text. 246 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 247 # (positive sentiment). 248 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 249 # the absolute magnitude of sentiment regardless of score (positive or 250 # negative). 251 }, 252 "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. 253 # 254 # The salience score for an entity provides information about the 255 # importance or centrality of that entity to the entire document text. 256 # Scores closer to 0 are less salient, while scores closer to 1.0 are highly 257 # salient. 258 "mentions": [ # The mentions of this entity in the input document. The API currently 259 # supports proper noun mentions. 260 { # Represents a mention for an entity in the text. Currently, proper noun 261 # mentions are supported. 262 "text": { # Represents an output piece of text. # The mention text. 263 "content": "A String", # The content of the output text. 264 "beginOffset": 42, # The API calculates the beginning offset of the content in the original 265 # document according to the EncodingType specified in the API request. 266 }, 267 "type": "A String", # The type of the entity mention. 268 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if 269 # AnnotateTextRequest.Features.extract_entity_sentiment is set to 270 # true, this field will contain the sentiment expressed for this mention of 271 # the entity in the provided document. 272 # the text. 273 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 274 # (positive sentiment). 275 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 276 # the absolute magnitude of sentiment regardless of score (positive or 277 # negative). 278 }, 279 }, 280 ], 281 "type": "A String", # The entity type. 282 "metadata": { # Metadata associated with the entity. 283 # 284 # Currently, Wikipedia URLs and Knowledge Graph MIDs are provided, if 285 # available. The associated keys are "wikipedia_url" and "mid", respectively. 286 "a_key": "A String", 287 }, 288 }, 289 ], 290 "language": "A String", # The language of the text, which will be the same as the language specified 291 # in the request or, if not specified, the automatically-detected language. 292 # See Document.language field for more details. 293 }</pre> 294</div> 295 296<div class="method"> 297 <code class="details" id="analyzeSentiment">analyzeSentiment(body, x__xgafv=None)</code> 298 <pre>Analyzes the sentiment of the provided text. 299 300Args: 301 body: object, The request body. (required) 302 The object takes the form of: 303 304{ # The sentiment analysis request message. 305 "document": { # ################################################################ # # Input document. 306 # 307 # Represents the input to API methods. 308 "content": "A String", # The content of the input in string format. 309 "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, 310 # returns an `INVALID_ARGUMENT` error. 311 "language": "A String", # The language of the document (if not specified, the language is 312 # automatically detected). Both ISO and BCP-47 language codes are 313 # accepted.<br> 314 # [Language Support](/natural-language/docs/languages) 315 # lists currently supported languages for each API method. 316 # If the language (either specified by the caller or automatically detected) 317 # is not supported by the called API method, an `INVALID_ARGUMENT` error 318 # is returned. 319 "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. 320 # This URI must be of the form: gs://bucket_name/object_name. For more 321 # details, see https://cloud.google.com/storage/docs/reference-uris. 322 # NOTE: Cloud Storage object versioning is not supported. 323 }, 324 "encodingType": "A String", # The encoding type used by the API to calculate sentence offsets for the 325 # sentence sentiment. 326 } 327 328 x__xgafv: string, V1 error format. 329 Allowed values 330 1 - v1 error format 331 2 - v2 error format 332 333Returns: 334 An object of the form: 335 336 { # The sentiment analysis response message. 337 "documentSentiment": { # Represents the feeling associated with the entire text or entities in # The overall sentiment of the input document. 338 # the text. 339 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 340 # (positive sentiment). 341 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 342 # the absolute magnitude of sentiment regardless of score (positive or 343 # negative). 344 }, 345 "language": "A String", # The language of the text, which will be the same as the language specified 346 # in the request or, if not specified, the automatically-detected language. 347 # See Document.language field for more details. 348 "sentences": [ # The sentiment for all the sentences in the document. 349 { # Represents a sentence in the input document. 350 "text": { # Represents an output piece of text. # The sentence text. 351 "content": "A String", # The content of the output text. 352 "beginOffset": 42, # The API calculates the beginning offset of the content in the original 353 # document according to the EncodingType specified in the API request. 354 }, 355 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeSentiment or if 356 # AnnotateTextRequest.Features.extract_document_sentiment is set to 357 # true, this field will contain the sentiment for the sentence. 358 # the text. 359 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 360 # (positive sentiment). 361 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 362 # the absolute magnitude of sentiment regardless of score (positive or 363 # negative). 364 }, 365 }, 366 ], 367 }</pre> 368</div> 369 370<div class="method"> 371 <code class="details" id="analyzeSyntax">analyzeSyntax(body, x__xgafv=None)</code> 372 <pre>Analyzes the syntax of the text and provides sentence boundaries and 373tokenization along with part of speech tags, dependency trees, and other 374properties. 375 376Args: 377 body: object, The request body. (required) 378 The object takes the form of: 379 380{ # The syntax analysis request message. 381 "document": { # ################################################################ # # Input document. 382 # 383 # Represents the input to API methods. 384 "content": "A String", # The content of the input in string format. 385 "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, 386 # returns an `INVALID_ARGUMENT` error. 387 "language": "A String", # The language of the document (if not specified, the language is 388 # automatically detected). Both ISO and BCP-47 language codes are 389 # accepted.<br> 390 # [Language Support](/natural-language/docs/languages) 391 # lists currently supported languages for each API method. 392 # If the language (either specified by the caller or automatically detected) 393 # is not supported by the called API method, an `INVALID_ARGUMENT` error 394 # is returned. 395 "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. 396 # This URI must be of the form: gs://bucket_name/object_name. For more 397 # details, see https://cloud.google.com/storage/docs/reference-uris. 398 # NOTE: Cloud Storage object versioning is not supported. 399 }, 400 "encodingType": "A String", # The encoding type used by the API to calculate offsets. 401 } 402 403 x__xgafv: string, V1 error format. 404 Allowed values 405 1 - v1 error format 406 2 - v2 error format 407 408Returns: 409 An object of the form: 410 411 { # The syntax analysis response message. 412 "tokens": [ # Tokens, along with their syntactic information, in the input document. 413 { # Represents the smallest syntactic building block of the text. 414 "text": { # Represents an output piece of text. # The token text. 415 "content": "A String", # The content of the output text. 416 "beginOffset": 42, # The API calculates the beginning offset of the content in the original 417 # document according to the EncodingType specified in the API request. 418 }, 419 "partOfSpeech": { # Represents part of speech information for a token. # Parts of speech tag for this token. 420 "case": "A String", # The grammatical case. 421 "reciprocity": "A String", # The grammatical reciprocity. 422 "mood": "A String", # The grammatical mood. 423 "form": "A String", # The grammatical form. 424 "gender": "A String", # The grammatical gender. 425 "number": "A String", # The grammatical number. 426 "person": "A String", # The grammatical person. 427 "tag": "A String", # The part of speech tag. 428 "tense": "A String", # The grammatical tense. 429 "aspect": "A String", # The grammatical aspect. 430 "proper": "A String", # The grammatical properness. 431 "voice": "A String", # The grammatical voice. 432 }, 433 "dependencyEdge": { # Represents dependency parse tree information for a token. # Dependency tree parse for this token. 434 "headTokenIndex": 42, # Represents the head of this token in the dependency tree. 435 # This is the index of the token which has an arc going to this token. 436 # The index is the position of the token in the array of tokens returned 437 # by the API method. If this token is a root token, then the 438 # `head_token_index` is its own index. 439 "label": "A String", # The parse label for the token. 440 }, 441 "lemma": "A String", # [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token. 442 }, 443 ], 444 "language": "A String", # The language of the text, which will be the same as the language specified 445 # in the request or, if not specified, the automatically-detected language. 446 # See Document.language field for more details. 447 "sentences": [ # Sentences in the input document. 448 { # Represents a sentence in the input document. 449 "text": { # Represents an output piece of text. # The sentence text. 450 "content": "A String", # The content of the output text. 451 "beginOffset": 42, # The API calculates the beginning offset of the content in the original 452 # document according to the EncodingType specified in the API request. 453 }, 454 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeSentiment or if 455 # AnnotateTextRequest.Features.extract_document_sentiment is set to 456 # true, this field will contain the sentiment for the sentence. 457 # the text. 458 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 459 # (positive sentiment). 460 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 461 # the absolute magnitude of sentiment regardless of score (positive or 462 # negative). 463 }, 464 }, 465 ], 466 }</pre> 467</div> 468 469<div class="method"> 470 <code class="details" id="annotateText">annotateText(body, x__xgafv=None)</code> 471 <pre>A convenience method that provides all syntax, sentiment, entity, and 472classification features in one call. 473 474Args: 475 body: object, The request body. (required) 476 The object takes the form of: 477 478{ # The request message for the text annotation API, which can perform multiple 479 # analysis types (sentiment, entities, and syntax) in one call. 480 "encodingType": "A String", # The encoding type used by the API to calculate offsets. 481 "document": { # ################################################################ # # Input document. 482 # 483 # Represents the input to API methods. 484 "content": "A String", # The content of the input in string format. 485 "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`, 486 # returns an `INVALID_ARGUMENT` error. 487 "language": "A String", # The language of the document (if not specified, the language is 488 # automatically detected). Both ISO and BCP-47 language codes are 489 # accepted.<br> 490 # [Language Support](/natural-language/docs/languages) 491 # lists currently supported languages for each API method. 492 # If the language (either specified by the caller or automatically detected) 493 # is not supported by the called API method, an `INVALID_ARGUMENT` error 494 # is returned. 495 "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located. 496 # This URI must be of the form: gs://bucket_name/object_name. For more 497 # details, see https://cloud.google.com/storage/docs/reference-uris. 498 # NOTE: Cloud Storage object versioning is not supported. 499 }, 500 "features": { # All available features for sentiment, syntax, and semantic analysis. # The enabled features. 501 # Setting each one to true will enable that specific analysis for the input. 502 "extractEntitySentiment": True or False, # Extract entities and their associated sentiment. 503 "extractDocumentSentiment": True or False, # Extract document-level sentiment. 504 "extractEntities": True or False, # Extract entities. 505 "extractSyntax": True or False, # Extract syntax information. 506 }, 507 } 508 509 x__xgafv: string, V1 error format. 510 Allowed values 511 1 - v1 error format 512 2 - v2 error format 513 514Returns: 515 An object of the form: 516 517 { # The text annotations response message. 518 "tokens": [ # Tokens, along with their syntactic information, in the input document. 519 # Populated if the user enables 520 # AnnotateTextRequest.Features.extract_syntax. 521 { # Represents the smallest syntactic building block of the text. 522 "text": { # Represents an output piece of text. # The token text. 523 "content": "A String", # The content of the output text. 524 "beginOffset": 42, # The API calculates the beginning offset of the content in the original 525 # document according to the EncodingType specified in the API request. 526 }, 527 "partOfSpeech": { # Represents part of speech information for a token. # Parts of speech tag for this token. 528 "case": "A String", # The grammatical case. 529 "reciprocity": "A String", # The grammatical reciprocity. 530 "mood": "A String", # The grammatical mood. 531 "form": "A String", # The grammatical form. 532 "gender": "A String", # The grammatical gender. 533 "number": "A String", # The grammatical number. 534 "person": "A String", # The grammatical person. 535 "tag": "A String", # The part of speech tag. 536 "tense": "A String", # The grammatical tense. 537 "aspect": "A String", # The grammatical aspect. 538 "proper": "A String", # The grammatical properness. 539 "voice": "A String", # The grammatical voice. 540 }, 541 "dependencyEdge": { # Represents dependency parse tree information for a token. # Dependency tree parse for this token. 542 "headTokenIndex": 42, # Represents the head of this token in the dependency tree. 543 # This is the index of the token which has an arc going to this token. 544 # The index is the position of the token in the array of tokens returned 545 # by the API method. If this token is a root token, then the 546 # `head_token_index` is its own index. 547 "label": "A String", # The parse label for the token. 548 }, 549 "lemma": "A String", # [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token. 550 }, 551 ], 552 "entities": [ # Entities, along with their semantic information, in the input document. 553 # Populated if the user enables 554 # AnnotateTextRequest.Features.extract_entities. 555 { # Represents a phrase in the text that is a known entity, such as 556 # a person, an organization, or location. The API associates information, such 557 # as salience and mentions, with entities. 558 "name": "A String", # The representative name for the entity. 559 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if 560 # AnnotateTextRequest.Features.extract_entity_sentiment is set to 561 # true, this field will contain the aggregate sentiment expressed for this 562 # entity in the provided document. 563 # the text. 564 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 565 # (positive sentiment). 566 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 567 # the absolute magnitude of sentiment regardless of score (positive or 568 # negative). 569 }, 570 "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range. 571 # 572 # The salience score for an entity provides information about the 573 # importance or centrality of that entity to the entire document text. 574 # Scores closer to 0 are less salient, while scores closer to 1.0 are highly 575 # salient. 576 "mentions": [ # The mentions of this entity in the input document. The API currently 577 # supports proper noun mentions. 578 { # Represents a mention for an entity in the text. Currently, proper noun 579 # mentions are supported. 580 "text": { # Represents an output piece of text. # The mention text. 581 "content": "A String", # The content of the output text. 582 "beginOffset": 42, # The API calculates the beginning offset of the content in the original 583 # document according to the EncodingType specified in the API request. 584 }, 585 "type": "A String", # The type of the entity mention. 586 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeEntitySentiment or if 587 # AnnotateTextRequest.Features.extract_entity_sentiment is set to 588 # true, this field will contain the sentiment expressed for this mention of 589 # the entity in the provided document. 590 # the text. 591 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 592 # (positive sentiment). 593 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 594 # the absolute magnitude of sentiment regardless of score (positive or 595 # negative). 596 }, 597 }, 598 ], 599 "type": "A String", # The entity type. 600 "metadata": { # Metadata associated with the entity. 601 # 602 # Currently, Wikipedia URLs and Knowledge Graph MIDs are provided, if 603 # available. The associated keys are "wikipedia_url" and "mid", respectively. 604 "a_key": "A String", 605 }, 606 }, 607 ], 608 "documentSentiment": { # Represents the feeling associated with the entire text or entities in # The overall sentiment for the document. Populated if the user enables 609 # AnnotateTextRequest.Features.extract_document_sentiment. 610 # the text. 611 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 612 # (positive sentiment). 613 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 614 # the absolute magnitude of sentiment regardless of score (positive or 615 # negative). 616 }, 617 "language": "A String", # The language of the text, which will be the same as the language specified 618 # in the request or, if not specified, the automatically-detected language. 619 # See Document.language field for more details. 620 "sentences": [ # Sentences in the input document. Populated if the user enables 621 # AnnotateTextRequest.Features.extract_syntax. 622 { # Represents a sentence in the input document. 623 "text": { # Represents an output piece of text. # The sentence text. 624 "content": "A String", # The content of the output text. 625 "beginOffset": 42, # The API calculates the beginning offset of the content in the original 626 # document according to the EncodingType specified in the API request. 627 }, 628 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeSentiment or if 629 # AnnotateTextRequest.Features.extract_document_sentiment is set to 630 # true, this field will contain the sentiment for the sentence. 631 # the text. 632 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0 633 # (positive sentiment). 634 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents 635 # the absolute magnitude of sentiment regardless of score (positive or 636 # negative). 637 }, 638 }, 639 ], 640 }</pre> 641</div> 642 643</body></html>