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이 코드 샘플이 포함된 자세한 문서는 다음을 참조하세요.
코드 샘플
Go
// Sample language-quickstart uses the Google Cloud Natural API to analyze the
// sentiment of "Hello, world!".
package main
import (
"context"
"fmt"
"log"
language "cloud.google.com/go/language/apiv1"
"cloud.google.com/go/language/apiv1/languagepb"
)
func main() {
ctx := context.Background()
// Creates a client.
client, err := language.NewClient(ctx)
if err != nil {
log.Fatalf("Failed to create client: %v", err)
}
defer client.Close()
// Sets the text to analyze.
text := "Hello, world!"
// Detects the sentiment of the text.
sentiment, err := client.AnalyzeSentiment(ctx, &languagepb.AnalyzeSentimentRequest{
Document: &languagepb.Document{
Source: &languagepb.Document_Content{
Content: text,
},
Type: languagepb.Document_PLAIN_TEXT,
},
EncodingType: languagepb.EncodingType_UTF8,
})
if err != nil {
log.Fatalf("Failed to analyze text: %v", err)
}
fmt.Printf("Text: %v\n", text)
if sentiment.DocumentSentiment.Score >= 0 {
fmt.Println("Sentiment: positive")
} else {
fmt.Println("Sentiment: negative")
}
}
Java
// Imports the Google Cloud client library
import com.google.cloud.language.v1.Document;
import com.google.cloud.language.v1.Document.Type;
import com.google.cloud.language.v1.LanguageServiceClient;
import com.google.cloud.language.v1.Sentiment;
public class QuickstartSample {
public static void main(String... args) throws Exception {
// Instantiates a client
try (LanguageServiceClient language = LanguageServiceClient.create()) {
// The text to analyze
String text = "Hello, world!";
Document doc = Document.newBuilder().setContent(text).setType(Type.PLAIN_TEXT).build();
// Detects the sentiment of the text
Sentiment sentiment = language.analyzeSentiment(doc).getDocumentSentiment();
System.out.printf("Text: %s%n", text);
System.out.printf("Sentiment: %s, %s%n", sentiment.getScore(), sentiment.getMagnitude());
}
}
}
Node.js
async function quickstart() {
// Imports the Google Cloud client library
const language = require('@google-cloud/language');
// Instantiates a client
const client = new language.LanguageServiceClient();
// The text to analyze
const text = 'Hello, world!';
const document = {
content: text,
type: 'PLAIN_TEXT',
};
// Detects the sentiment of the text
const [result] = await client.analyzeSentiment({document: document});
const sentiment = result.documentSentiment;
console.log(`Text: ${text}`);
console.log(`Sentiment score: ${sentiment.score}`);
console.log(`Sentiment magnitude: ${sentiment.magnitude}`);
}
PHP
# Includes the autoloader for libraries installed with composer
require __DIR__ . '/vendor/autoload.php';
# Imports the Google Cloud client library
use Google\Cloud\Language\LanguageClient;
# Your Google Cloud Platform project ID
$projectId = 'YOUR_PROJECT_ID';
# Instantiates a client
$language = new LanguageClient([
'projectId' => $projectId
]);
# The text to analyze
$text = 'Hello, world!';
# Detects the sentiment of the text
$annotation = $language->analyzeSentiment($text);
$sentiment = $annotation->sentiment();
echo 'Text: ' . $text . '
Sentiment: ' . $sentiment['score'] . ', ' . $sentiment['magnitude'];
Python
# Imports the Google Cloud client library
from google.cloud import language_v1
# Instantiates a client
client = language_v1.LanguageServiceClient()
# The text to analyze
text = "Hello, world!"
document = language_v1.Document(
content=text, type_=language_v1.Document.Type.PLAIN_TEXT
)
# Detects the sentiment of the text
sentiment = client.analyze_sentiment(
request={"document": document}
).document_sentiment
print("Text: {}".format(text))
print("Sentiment: {}, {}".format(sentiment.score, sentiment.magnitude))
다음 단계
다른 Google Cloud 제품의 코드 샘플을 검색하고 필터링하려면 Google Cloud 샘플 브라우저를 참조하세요.