Google Cloud Storage に保存されているファイルを分析し、ドキュメント内で検出されたテキストに適用されるコンテンツ カテゴリのリストを返します。
もっと見る
このコードサンプルを含む詳細なドキュメントについては、以下をご覧ください。
コードサンプル
Go
func classifyTextFromGCS(ctx context.Context, gcsURI string) (*languagepb.ClassifyTextResponse, error) {
return client.ClassifyText(ctx, &languagepb.ClassifyTextRequest{
Document: &languagepb.Document{
Source: &languagepb.Document_GcsContentUri{
GcsContentUri: gcsURI,
},
Type: languagepb.Document_PLAIN_TEXT,
},
})
}
Java
// Instantiate the Language client com.google.cloud.language.v1.LanguageServiceClient
try (LanguageServiceClient language = LanguageServiceClient.create()) {
// Set the GCS content URI path
Document doc =
Document.newBuilder().setGcsContentUri(gcsUri).setType(Type.PLAIN_TEXT).build();
ClassifyTextRequest request = ClassifyTextRequest.newBuilder().setDocument(doc).build();
// Detect categories in the given file
ClassifyTextResponse response = language.classifyText(request);
for (ClassificationCategory category : response.getCategoriesList()) {
System.out.printf(
"Category name : %s, Confidence : %.3f\n",
category.getName(), category.getConfidence());
}
}
Node.js
// 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',
};
// Classifies text in the document
const [classification] = await client.classifyText({document});
console.log('Categories:');
classification.categories.forEach(category => {
console.log(`Name: ${category.name}, Confidence: ${category.confidence}`);
});
PHP
use Google\Cloud\Language\V1\Document;
use Google\Cloud\Language\V1\Document\Type;
use Google\Cloud\Language\V1\LanguageServiceClient;
/**
* @param string $uri The cloud storage object to analyze (gs://your-bucket-name/your-object-name)
*/
function classify_text_from_file(string $uri): void
{
$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 analyzeSentiment function
$response = $languageServiceClient->classifyText($document);
$categories = $response->getCategories();
// Print document information
foreach ($categories as $category) {
printf('Category Name: %s' . PHP_EOL, $category->getName());
printf('Confidence: %s' . PHP_EOL, $category->getConfidence());
print(PHP_EOL);
}
}
Python
from google.cloud import language_v1
def sample_classify_text(gcs_content_uri):
"""
Classifying Content 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]
The text file must include at least 20 words.
"""
client = language_v1.LanguageServiceClient()
# gcs_content_uri = 'gs://cloud-samples-data/language/classify-entertainment.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,
}
response = client.classify_text(request={"document": document})
# Loop through classified categories returned from the API
for category in response.categories:
# Get the name of the category representing the document.
# See the predefined taxonomy of categories:
# https://cloud.google.com/natural-language/docs/categories
print("Category name: {}".format(category.name))
# Get the confidence. Number representing how certain the classifier
# is that this category represents the provided text.
print("Confidence: {}".format(category.confidence))
次のステップ
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