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Analisi della sintassi di un file Cloud Storage

Suddividi il testo di un file archiviato in Cloud Storage in una serie di frasi e token (in genere parole) e fornisci informazioni linguistiche su questi token.

Per saperne di più

Per la documentazione dettagliata che include questo esempio di codice, consulta quanto segue:

Analisi della sintassi

Esempio di codice

Go

Per scoprire come installare e utilizzare la libreria client per Natural Language, consulta Librerie client di Natural Language. Per ulteriori informazioni, consulta API Natural Language Go documentazione di riferimento.

Per autenticarti a Natural Language, configura le credenziali predefinite dell'applicazione. Per ulteriori informazioni, vedi Configura l'autenticazione per un ambiente di sviluppo locale.


func analyzeSyntaxFromGCS(ctx context.Context, gcsURI string) (*languagepb.AnnotateTextResponse, error) {
	return client.AnnotateText(ctx, &languagepb.AnnotateTextRequest{
		Document: &languagepb.Document{
			Source: &languagepb.Document_GcsContentUri{
				GcsContentUri: gcsURI,
			},
			Type: languagepb.Document_PLAIN_TEXT,
		},
		Features: &languagepb.AnnotateTextRequest_Features{
			ExtractSyntax: true,
		},
		EncodingType: languagepb.EncodingType_UTF8,
	})
}

Java

Per scoprire come installare e utilizzare la libreria client per Natural Language, vedi Librerie client di Natural Language. Per ulteriori informazioni, consulta la documentazione di riferimento dell'API Natural Language Java.

Per autenticarti a Natural Language, configura le credenziali predefinite dell'applicazione. Per maggiori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.

// Instantiate the Language client com.google.cloud.language.v1.LanguageServiceClient
try (com.google.cloud.language.v1.LanguageServiceClient language =
    com.google.cloud.language.v1.LanguageServiceClient.create()) {
  com.google.cloud.language.v1.Document doc =
      com.google.cloud.language.v1.Document.newBuilder().setGcsContentUri(gcsUri).setType(
        com.google.cloud.language.v1.Document.Type.PLAIN_TEXT
      ).build();
  AnalyzeSyntaxRequest request =
      AnalyzeSyntaxRequest.newBuilder()
          .setDocument(doc)
          .setEncodingType(com.google.cloud.language.v1.EncodingType.UTF16)
          .build();
  // Analyze the syntax in the given text
  AnalyzeSyntaxResponse response = language.analyzeSyntax(request);
  // Print the response
  for (Token token : response.getTokensList()) {
    System.out.printf("\tText: %s\n", token.getText().getContent());
    System.out.printf("\tBeginOffset: %d\n", token.getText().getBeginOffset());
    System.out.printf("Lemma: %s\n", token.getLemma());
    System.out.printf("PartOfSpeechTag: %s\n", token.getPartOfSpeech().getTag());
    System.out.printf("\tAspect: %s\n", token.getPartOfSpeech().getAspect());
    System.out.printf("\tCase: %s\n", token.getPartOfSpeech().getCase());
    System.out.printf("\tForm: %s\n", token.getPartOfSpeech().getForm());
    System.out.printf("\tGender: %s\n", token.getPartOfSpeech().getGender());
    System.out.printf("\tMood: %s\n", token.getPartOfSpeech().getMood());
    System.out.printf("\tNumber: %s\n", token.getPartOfSpeech().getNumber());
    System.out.printf("\tPerson: %s\n", token.getPartOfSpeech().getPerson());
    System.out.printf("\tProper: %s\n", token.getPartOfSpeech().getProper());
    System.out.printf("\tReciprocity: %s\n", token.getPartOfSpeech().getReciprocity());
    System.out.printf("\tTense: %s\n", token.getPartOfSpeech().getTense());
    System.out.printf("\tVoice: %s\n", token.getPartOfSpeech().getVoice());
    System.out.println("DependencyEdge");
    System.out.printf("\tHeadTokenIndex: %d\n", token.getDependencyEdge().getHeadTokenIndex());
    System.out.printf("\tLabel: %s\n\n", token.getDependencyEdge().getLabel());
  }

  return response.getTokensList();
}

Node.js

Per scoprire come installare e utilizzare la libreria client per Natural Language, consulta Librerie client di Natural Language. Per ulteriori informazioni, consulta la documentazione di riferimento dell'API Natural Language Node.js.

Per eseguire l'autenticazione in Natural Language, configura Credenziali predefinite dell'applicazione. Per maggiori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.

// Imports the Google Cloud client library
const language = require('@google-cloud/language');

// Creates a client
const client = new language.LanguageServiceClient();

/**
 * TODO(developer): Uncomment the following lines to run this code
 */
// const bucketName = 'Your bucket name, e.g. my-bucket';
// const fileName = 'Your file name, e.g. my-file.txt';

// Prepares a document, representing a text file in Cloud Storage
const document = {
  gcsContentUri: `gs://${bucketName}/${fileName}`,
  type: 'PLAIN_TEXT',
};

// Need to specify an encodingType to receive word offsets
const encodingType = 'UTF8';

// Detects the sentiment of the document
const [syntax] = await client.analyzeSyntax({document, encodingType});

console.log('Parts of speech:');
syntax.tokens.forEach(part => {
  console.log(`${part.partOfSpeech.tag}: ${part.text.content}`);
  console.log('Morphology:', part.partOfSpeech);
});

PHP

Per scoprire come installare e utilizzare la libreria client per Natural Language, vedi Librerie client di Natural Language.

use Google\Cloud\Language\V1\AnalyzeSyntaxRequest;
use Google\Cloud\Language\V1\Client\LanguageServiceClient;
use Google\Cloud\Language\V1\Document;
use Google\Cloud\Language\V1\Document\Type;
use Google\Cloud\Language\V1\PartOfSpeech\Tag;

/**
 * @param string $uri The cloud storage object to analyze (gs://your-bucket-name/your-object-name)
 */
function analyze_syntax_from_file(string $uri): void
{
    // Create the Natural Language client
    $languageServiceClient = new LanguageServiceClient();

    // Create a new Document, pass GCS URI and set type to PLAIN_TEXT
    $document = (new Document())
        ->setGcsContentUri($uri)
        ->setType(Type::PLAIN_TEXT);

    // Call the analyzeEntities function
    $request = (new AnalyzeSyntaxRequest())
        ->setDocument($document);
    $response = $languageServiceClient->analyzeSyntax($request);
    $tokens = $response->getTokens();
    // Print out information about each entity
    foreach ($tokens as $token) {
        printf('Token text: %s' . PHP_EOL, $token->getText()->getContent());
        printf('Token part of speech: %s' . PHP_EOL, Tag::name($token->getPartOfSpeech()->getTag()));
        print(PHP_EOL);
    }
}

Python

Per eseguire l'autenticazione in Natural Language, configura Credenziali predefinite dell'applicazione. Per ulteriori informazioni, vedi Configura l'autenticazione per un ambiente di sviluppo locale.

from google.cloud import language_v1


def sample_analyze_syntax(gcs_content_uri):
    """
    Analyzing Syntax in text file stored in Cloud Storage

    Args:
      gcs_content_uri Google Cloud Storage URI where the file content is located.
      e.g. gs://[Your Bucket]/[Path to File]
    """

    client = language_v1.LanguageServiceClient()

    # gcs_content_uri = 'gs://cloud-samples-data/language/syntax-sentence.txt'

    # Available types: PLAIN_TEXT, HTML
    type_ = language_v1.Document.Type.PLAIN_TEXT

    # Optional. If not specified, the language is automatically detected.
    # For list of supported languages:
    # https://cloud.google.com/natural-language/docs/languages
    language = "en"
    document = {
        "gcs_content_uri": gcs_content_uri,
        "type_": type_,
        "language": language,
    }

    # Available values: NONE, UTF8, UTF16, UTF32
    encoding_type = language_v1.EncodingType.UTF8

    response = client.analyze_syntax(
        request={"document": document, "encoding_type": encoding_type}
    )
    # Loop through tokens returned from the API
    for token in response.tokens:
        # Get the text content of this token. Usually a word or punctuation.
        text = token.text
        print(f"Token text: {text.content}")
        print(f"Location of this token in overall document: {text.begin_offset}")
        # Get the part of speech information for this token.
        # Part of speech is defined in:
        # http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
        part_of_speech = token.part_of_speech
        # Get the tag, e.g. NOUN, ADJ for Adjective, et al.
        print(
            "Part of Speech tag: {}".format(
                language_v1.PartOfSpeech.Tag(part_of_speech.tag).name
            )
        )
        # Get the voice, e.g. ACTIVE or PASSIVE
        print(
            "Voice: {}".format(
                language_v1.PartOfSpeech.Voice(part_of_speech.voice).name
            )
        )
        # Get the tense, e.g. PAST, FUTURE, PRESENT, et al.
        print(
            "Tense: {}".format(
                language_v1.PartOfSpeech.Tense(part_of_speech.tense).name
            )
        )
        # See API reference for additional Part of Speech information available
        # Get the lemma of the token. Wikipedia lemma description
        # https://en.wikipedia.org/wiki/Lemma_(morphology)
        print(f"Lemma: {token.lemma}")
        # Get the dependency tree parse information for this token.
        # For more information on dependency labels:
        # http://www.aclweb.org/anthology/P13-2017
        dependency_edge = token.dependency_edge
        print(f"Head token index: {dependency_edge.head_token_index}")
        print(
            "Label: {}".format(
                language_v1.DependencyEdge.Label(dependency_edge.label).name
            )
        )

    # Get the language of the text, which will be the same as
    # the language specified in the request or, if not specified,
    # the automatically-detected language.
    print(f"Language of the text: {response.language}")

Passaggi successivi

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