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75<h1><a href="language_v1.html">Google Cloud Natural Language API</a> . <a href="language_v1.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>
Sai Cheemalapatie833b792017-03-24 15:06:46 -0700[diff] [blame]79<p class="firstline">Finds named entities (currently proper names and common nouns) in the text</p>
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]80<p class="toc_element">
81 <code><a href="#analyzeSentiment">analyzeSentiment(body, x__xgafv=None)</a></code></p>
82<p class="firstline">Analyzes the sentiment of the provided text.</p>
83<p class="toc_element">
84 <code><a href="#analyzeSyntax">analyzeSyntax(body, x__xgafv=None)</a></code></p>
85<p class="firstline">Analyzes the syntax of the text and provides sentence boundaries and</p>
86<p class="toc_element">
87 <code><a href="#annotateText">annotateText(body, x__xgafv=None)</a></code></p>
88<p class="firstline">A convenience method that provides all the features that analyzeSentiment,</p>
89<h3>Method Details</h3>
90<div class="method">
91 <code class="details" id="analyzeEntities">analyzeEntities(body, x__xgafv=None)</code>
Sai Cheemalapatie833b792017-03-24 15:06:46 -0700[diff] [blame]92 <pre>Finds named entities (currently proper names and common nouns) in the text
93along with entity types, salience, mentions for each entity, and
94other properties.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]95
96Args:
97 body: object, The request body. (required)
98 The object takes the form of:
99
100{ # The entity analysis request message.
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]101 "encodingType": "A String", # The encoding type used by the API to calculate offsets.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]102 "document": { # ################################################################ # # Input document.
103 #
104 # Represents the input to API methods.
105 "content": "A String", # The content of the input in string format.
106 "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`,
107 # returns an `INVALID_ARGUMENT` error.
108 "language": "A String", # The language of the document (if not specified, the language is
109 # automatically detected). Both ISO and BCP-47 language codes are
110 # accepted.<br>
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]111 # [Language Support](/natural-language/docs/languages)
112 # lists currently supported languages for each API method.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]113 # If the language (either specified by the caller or automatically detected)
114 # is not supported by the called API method, an `INVALID_ARGUMENT` error
115 # is returned.
116 "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located.
117 # This URI must be of the form: gs://bucket_name/object_name. For more
118 # details, see https://cloud.google.com/storage/docs/reference-uris.
119 # NOTE: Cloud Storage object versioning is not supported.
120 },
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]121 }
122
123 x__xgafv: string, V1 error format.
124 Allowed values
125 1 - v1 error format
126 2 - v2 error format
127
128Returns:
129 An object of the form:
130
131 { # The entity analysis response message.
132 "entities": [ # The recognized entities in the input document.
133 { # Represents a phrase in the text that is a known entity, such as
134 # a person, an organization, or location. The API associates information, such
135 # as salience and mentions, with entities.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]136 "mentions": [ # The mentions of this entity in the input document. The API currently
137 # supports proper noun mentions.
138 { # Represents a mention for an entity in the text. Currently, proper noun
139 # mentions are supported.
140 "text": { # Represents an output piece of text. # The mention text.
141 "content": "A String", # The content of the output text.
142 "beginOffset": 42, # The API calculates the beginning offset of the content in the original
143 # document according to the EncodingType specified in the API request.
144 },
145 "type": "A String", # The type of the entity mention.
146 },
147 ],
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]148 "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range.
149 #
150 # The salience score for an entity provides information about the
151 # importance or centrality of that entity to the entire document text.
152 # Scores closer to 0 are less salient, while scores closer to 1.0 are highly
153 # salient.
Sai Cheemalapatic30d2b52017-03-13 12:12:03 -0400[diff] [blame]154 "type": "A String", # The entity type.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]155 "name": "A String", # The representative name for the entity.
156 "metadata": { # Metadata associated with the entity.
157 #
158 # Currently, Wikipedia URLs and Knowledge Graph MIDs are provided, if
159 # available. The associated keys are "wikipedia_url" and "mid", respectively.
160 "a_key": "A String",
161 },
162 },
163 ],
164 "language": "A String", # The language of the text, which will be the same as the language specified
165 # in the request or, if not specified, the automatically-detected language.
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]166 # See Document.language field for more details.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]167 }</pre>
168</div>
169
170<div class="method">
171 <code class="details" id="analyzeSentiment">analyzeSentiment(body, x__xgafv=None)</code>
172 <pre>Analyzes the sentiment of the provided text.
173
174Args:
175 body: object, The request body. (required)
176 The object takes the form of:
177
178{ # The sentiment analysis request message.
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]179 "encodingType": "A String", # The encoding type used by the API to calculate sentence offsets.
180 "document": { # ################################################################ # # Input document.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]181 #
182 # Represents the input to API methods.
183 "content": "A String", # The content of the input in string format.
184 "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`,
185 # returns an `INVALID_ARGUMENT` error.
186 "language": "A String", # The language of the document (if not specified, the language is
187 # automatically detected). Both ISO and BCP-47 language codes are
188 # accepted.<br>
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]189 # [Language Support](/natural-language/docs/languages)
190 # lists currently supported languages for each API method.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]191 # If the language (either specified by the caller or automatically detected)
192 # is not supported by the called API method, an `INVALID_ARGUMENT` error
193 # is returned.
194 "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located.
195 # This URI must be of the form: gs://bucket_name/object_name. For more
196 # details, see https://cloud.google.com/storage/docs/reference-uris.
197 # NOTE: Cloud Storage object versioning is not supported.
198 },
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]199 }
200
201 x__xgafv: string, V1 error format.
202 Allowed values
203 1 - v1 error format
204 2 - v2 error format
205
206Returns:
207 An object of the form:
208
209 { # The sentiment analysis response message.
210 "documentSentiment": { # Represents the feeling associated with the entire text or entities in # The overall sentiment of the input document.
211 # the text.
212 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0
213 # (positive sentiment).
214 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents
215 # the absolute magnitude of sentiment regardless of score (positive or
216 # negative).
217 },
218 "language": "A String", # The language of the text, which will be the same as the language specified
219 # in the request or, if not specified, the automatically-detected language.
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]220 # See Document.language field for more details.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]221 "sentences": [ # The sentiment for all the sentences in the document.
222 { # Represents a sentence in the input document.
223 "text": { # Represents an output piece of text. # The sentence text.
224 "content": "A String", # The content of the output text.
225 "beginOffset": 42, # The API calculates the beginning offset of the content in the original
226 # document according to the EncodingType specified in the API request.
227 },
228 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeSentiment or if
229 # AnnotateTextRequest.Features.extract_document_sentiment is set to
230 # true, this field will contain the sentiment for the sentence.
231 # the text.
232 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0
233 # (positive sentiment).
234 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents
235 # the absolute magnitude of sentiment regardless of score (positive or
236 # negative).
237 },
238 },
239 ],
240 }</pre>
241</div>
242
243<div class="method">
244 <code class="details" id="analyzeSyntax">analyzeSyntax(body, x__xgafv=None)</code>
245 <pre>Analyzes the syntax of the text and provides sentence boundaries and
246tokenization along with part of speech tags, dependency trees, and other
247properties.
248
249Args:
250 body: object, The request body. (required)
251 The object takes the form of:
252
253{ # The syntax analysis request message.
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]254 "encodingType": "A String", # The encoding type used by the API to calculate offsets.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]255 "document": { # ################################################################ # # Input document.
256 #
257 # Represents the input to API methods.
258 "content": "A String", # The content of the input in string format.
259 "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`,
260 # returns an `INVALID_ARGUMENT` error.
261 "language": "A String", # The language of the document (if not specified, the language is
262 # automatically detected). Both ISO and BCP-47 language codes are
263 # accepted.<br>
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]264 # [Language Support](/natural-language/docs/languages)
265 # lists currently supported languages for each API method.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]266 # If the language (either specified by the caller or automatically detected)
267 # is not supported by the called API method, an `INVALID_ARGUMENT` error
268 # is returned.
269 "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located.
270 # This URI must be of the form: gs://bucket_name/object_name. For more
271 # details, see https://cloud.google.com/storage/docs/reference-uris.
272 # NOTE: Cloud Storage object versioning is not supported.
273 },
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]274 }
275
276 x__xgafv: string, V1 error format.
277 Allowed values
278 1 - v1 error format
279 2 - v2 error format
280
281Returns:
282 An object of the form:
283
284 { # The syntax analysis response message.
285 "tokens": [ # Tokens, along with their syntactic information, in the input document.
286 { # Represents the smallest syntactic building block of the text.
287 "text": { # Represents an output piece of text. # The token text.
288 "content": "A String", # The content of the output text.
289 "beginOffset": 42, # The API calculates the beginning offset of the content in the original
290 # document according to the EncodingType specified in the API request.
291 },
Sai Cheemalapatie833b792017-03-24 15:06:46 -0700[diff] [blame]292 "dependencyEdge": { # Represents dependency parse tree information for a token. (For more # Dependency tree parse for this token.
293 # information on dependency labels, see
294 # http://www.aclweb.org/anthology/P13-2017
295 "headTokenIndex": 42, # Represents the head of this token in the dependency tree.
296 # This is the index of the token which has an arc going to this token.
297 # The index is the position of the token in the array of tokens returned
298 # by the API method. If this token is a root token, then the
299 # `head_token_index` is its own index.
300 "label": "A String", # The parse label for the token.
301 },
Thomas Coffee2f245372017-03-27 10:39:26 -0700[diff] [blame]302 "partOfSpeech": { # Represents part of speech information for a token. Parts of speech # Parts of speech tag for this token.
303 # are as defined in
304 # http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
305 "case": "A String", # The grammatical case.
306 "reciprocity": "A String", # The grammatical reciprocity.
307 "mood": "A String", # The grammatical mood.
308 "form": "A String", # The grammatical form.
309 "gender": "A String", # The grammatical gender.
310 "number": "A String", # The grammatical number.
311 "person": "A String", # The grammatical person.
312 "tag": "A String", # The part of speech tag.
313 "tense": "A String", # The grammatical tense.
314 "aspect": "A String", # The grammatical aspect.
315 "proper": "A String", # The grammatical properness.
316 "voice": "A String", # The grammatical voice.
317 },
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]318 "lemma": "A String", # [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.
319 },
320 ],
321 "language": "A String", # The language of the text, which will be the same as the language specified
322 # in the request or, if not specified, the automatically-detected language.
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]323 # See Document.language field for more details.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]324 "sentences": [ # Sentences in the input document.
325 { # Represents a sentence in the input document.
326 "text": { # Represents an output piece of text. # The sentence text.
327 "content": "A String", # The content of the output text.
328 "beginOffset": 42, # The API calculates the beginning offset of the content in the original
329 # document according to the EncodingType specified in the API request.
330 },
331 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeSentiment or if
332 # AnnotateTextRequest.Features.extract_document_sentiment is set to
333 # true, this field will contain the sentiment for the sentence.
334 # the text.
335 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0
336 # (positive sentiment).
337 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents
338 # the absolute magnitude of sentiment regardless of score (positive or
339 # negative).
340 },
341 },
342 ],
343 }</pre>
344</div>
345
346<div class="method">
347 <code class="details" id="annotateText">annotateText(body, x__xgafv=None)</code>
348 <pre>A convenience method that provides all the features that analyzeSentiment,
349analyzeEntities, and analyzeSyntax provide in one call.
350
351Args:
352 body: object, The request body. (required)
353 The object takes the form of:
354
355{ # The request message for the text annotation API, which can perform multiple
356 # analysis types (sentiment, entities, and syntax) in one call.
Sai Cheemalapatic30d2b52017-03-13 12:12:03 -0400[diff] [blame]357 "encodingType": "A String", # The encoding type used by the API to calculate offsets.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]358 "document": { # ################################################################ # # Input document.
359 #
360 # Represents the input to API methods.
361 "content": "A String", # The content of the input in string format.
362 "type": "A String", # Required. If the type is not set or is `TYPE_UNSPECIFIED`,
363 # returns an `INVALID_ARGUMENT` error.
364 "language": "A String", # The language of the document (if not specified, the language is
365 # automatically detected). Both ISO and BCP-47 language codes are
366 # accepted.<br>
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]367 # [Language Support](/natural-language/docs/languages)
368 # lists currently supported languages for each API method.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]369 # If the language (either specified by the caller or automatically detected)
370 # is not supported by the called API method, an `INVALID_ARGUMENT` error
371 # is returned.
372 "gcsContentUri": "A String", # The Google Cloud Storage URI where the file content is located.
373 # This URI must be of the form: gs://bucket_name/object_name. For more
374 # details, see https://cloud.google.com/storage/docs/reference-uris.
375 # NOTE: Cloud Storage object versioning is not supported.
376 },
Thomas Coffee2f245372017-03-27 10:39:26 -0700[diff] [blame]377 "features": { # All available features for sentiment, syntax, and semantic analysis. # The enabled features.
378 # Setting each one to true will enable that specific analysis for the input.
379 "extractDocumentSentiment": True or False, # Extract document-level sentiment.
380 "extractEntities": True or False, # Extract entities.
381 "extractSyntax": True or False, # Extract syntax information.
382 },
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]383 }
384
385 x__xgafv: string, V1 error format.
386 Allowed values
387 1 - v1 error format
388 2 - v2 error format
389
390Returns:
391 An object of the form:
392
393 { # The text annotations response message.
394 "tokens": [ # Tokens, along with their syntactic information, in the input document.
395 # Populated if the user enables
396 # AnnotateTextRequest.Features.extract_syntax.
397 { # Represents the smallest syntactic building block of the text.
398 "text": { # Represents an output piece of text. # The token text.
399 "content": "A String", # The content of the output text.
400 "beginOffset": 42, # The API calculates the beginning offset of the content in the original
401 # document according to the EncodingType specified in the API request.
402 },
Sai Cheemalapatie833b792017-03-24 15:06:46 -0700[diff] [blame]403 "dependencyEdge": { # Represents dependency parse tree information for a token. (For more # Dependency tree parse for this token.
404 # information on dependency labels, see
405 # http://www.aclweb.org/anthology/P13-2017
406 "headTokenIndex": 42, # Represents the head of this token in the dependency tree.
407 # This is the index of the token which has an arc going to this token.
408 # The index is the position of the token in the array of tokens returned
409 # by the API method. If this token is a root token, then the
410 # `head_token_index` is its own index.
411 "label": "A String", # The parse label for the token.
412 },
Thomas Coffee2f245372017-03-27 10:39:26 -0700[diff] [blame]413 "partOfSpeech": { # Represents part of speech information for a token. Parts of speech # Parts of speech tag for this token.
414 # are as defined in
415 # http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
416 "case": "A String", # The grammatical case.
417 "reciprocity": "A String", # The grammatical reciprocity.
418 "mood": "A String", # The grammatical mood.
419 "form": "A String", # The grammatical form.
420 "gender": "A String", # The grammatical gender.
421 "number": "A String", # The grammatical number.
422 "person": "A String", # The grammatical person.
423 "tag": "A String", # The part of speech tag.
424 "tense": "A String", # The grammatical tense.
425 "aspect": "A String", # The grammatical aspect.
426 "proper": "A String", # The grammatical properness.
427 "voice": "A String", # The grammatical voice.
428 },
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]429 "lemma": "A String", # [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.
430 },
431 ],
432 "entities": [ # Entities, along with their semantic information, in the input document.
433 # Populated if the user enables
434 # AnnotateTextRequest.Features.extract_entities.
435 { # Represents a phrase in the text that is a known entity, such as
436 # a person, an organization, or location. The API associates information, such
437 # as salience and mentions, with entities.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]438 "mentions": [ # The mentions of this entity in the input document. The API currently
439 # supports proper noun mentions.
440 { # Represents a mention for an entity in the text. Currently, proper noun
441 # mentions are supported.
442 "text": { # Represents an output piece of text. # The mention text.
443 "content": "A String", # The content of the output text.
444 "beginOffset": 42, # The API calculates the beginning offset of the content in the original
445 # document according to the EncodingType specified in the API request.
446 },
447 "type": "A String", # The type of the entity mention.
448 },
449 ],
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]450 "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range.
451 #
452 # The salience score for an entity provides information about the
453 # importance or centrality of that entity to the entire document text.
454 # Scores closer to 0 are less salient, while scores closer to 1.0 are highly
455 # salient.
Sai Cheemalapatic30d2b52017-03-13 12:12:03 -0400[diff] [blame]456 "type": "A String", # The entity type.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]457 "name": "A String", # The representative name for the entity.
458 "metadata": { # Metadata associated with the entity.
459 #
460 # Currently, Wikipedia URLs and Knowledge Graph MIDs are provided, if
461 # available. The associated keys are "wikipedia_url" and "mid", respectively.
462 "a_key": "A String",
463 },
464 },
465 ],
466 "documentSentiment": { # Represents the feeling associated with the entire text or entities in # The overall sentiment for the document. Populated if the user enables
467 # AnnotateTextRequest.Features.extract_document_sentiment.
468 # the text.
469 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0
470 # (positive sentiment).
471 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents
472 # the absolute magnitude of sentiment regardless of score (positive or
473 # negative).
474 },
475 "language": "A String", # The language of the text, which will be the same as the language specified
476 # in the request or, if not specified, the automatically-detected language.
Sai Cheemalapati4ba8c232017-06-06 18:46:08 -0400[diff] [blame^]477 # See Document.language field for more details.
Jon Wayne Parrott692617a2017-01-06 09:58:29 -0800[diff] [blame]478 "sentences": [ # Sentences in the input document. Populated if the user enables
479 # AnnotateTextRequest.Features.extract_syntax.
480 { # Represents a sentence in the input document.
481 "text": { # Represents an output piece of text. # The sentence text.
482 "content": "A String", # The content of the output text.
483 "beginOffset": 42, # The API calculates the beginning offset of the content in the original
484 # document according to the EncodingType specified in the API request.
485 },
486 "sentiment": { # Represents the feeling associated with the entire text or entities in # For calls to AnalyzeSentiment or if
487 # AnnotateTextRequest.Features.extract_document_sentiment is set to
488 # true, this field will contain the sentiment for the sentence.
489 # the text.
490 "score": 3.14, # Sentiment score between -1.0 (negative sentiment) and 1.0
491 # (positive sentiment).
492 "magnitude": 3.14, # A non-negative number in the [0, +inf) range, which represents
493 # the absolute magnitude of sentiment regardless of score (positive or
494 # negative).
495 },
496 },
497 ],
498 }</pre>
499</div>
500
501</body></html>