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Example 6 with Sentiment

use of com.google.cloud.language.v1beta2.Sentiment in project google-cloud-java by GoogleCloudPlatform.

the class AnalyzeSentiment method main.

public static void main(String... args) throws Exception {
    // Instantiates a client
    LanguageServiceClient language = LanguageServiceClient.create();
    // The text to analyze
    String[] texts = { "I love this!", "I hate this!" };
    for (String text : texts) {
        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: score = %s, magnitude = %s%n", sentiment.getScore(), sentiment.getMagnitude());
    }
}
Also used : LanguageServiceClient(com.google.cloud.language.spi.v1.LanguageServiceClient) Document(com.google.cloud.language.v1.Document) Sentiment(com.google.cloud.language.v1.Sentiment)

Example 7 with Sentiment

use of com.google.cloud.language.v1beta2.Sentiment in project java-docs-samples by GoogleCloudPlatform.

the class Analyze method analyzeSentimentText.

/**
 * Identifies the sentiment in the string {@code text}.
 */
public static Sentiment analyzeSentimentText(String text) throws Exception {
    // Instantiate the Language client com.google.cloud.language.v1.LanguageServiceClient
    try (LanguageServiceClient language = LanguageServiceClient.create()) {
        Document doc = Document.newBuilder().setContent(text).setType(Type.PLAIN_TEXT).build();
        AnalyzeSentimentResponse response = language.analyzeSentiment(doc);
        Sentiment sentiment = response.getDocumentSentiment();
        if (sentiment == null) {
            System.out.println("No sentiment found");
        } else {
            System.out.printf("Sentiment magnitude: %.3f\n", sentiment.getMagnitude());
            System.out.printf("Sentiment score: %.3f\n", sentiment.getScore());
        }
        return sentiment;
    }
// [END analyze_sentiment_text]
}
Also used : LanguageServiceClient(com.google.cloud.language.v1.LanguageServiceClient) AnalyzeSentimentResponse(com.google.cloud.language.v1.AnalyzeSentimentResponse) Document(com.google.cloud.language.v1.Document) Sentiment(com.google.cloud.language.v1.Sentiment)

Example 8 with Sentiment

use of com.google.cloud.language.v1beta2.Sentiment in project java-docs-samples by GoogleCloudPlatform.

the class Analyze method analyzeSentimentFile.

/**
 * Gets {@link Sentiment} from the contents of the GCS hosted file.
 */
public static Sentiment analyzeSentimentFile(String gcsUri) throws Exception {
    // Instantiate the Language client com.google.cloud.language.v1.LanguageServiceClient
    try (LanguageServiceClient language = LanguageServiceClient.create()) {
        Document doc = Document.newBuilder().setGcsContentUri(gcsUri).setType(Type.PLAIN_TEXT).build();
        AnalyzeSentimentResponse response = language.analyzeSentiment(doc);
        Sentiment sentiment = response.getDocumentSentiment();
        if (sentiment == null) {
            System.out.println("No sentiment found");
        } else {
            System.out.printf("Sentiment magnitude : %.3f\n", sentiment.getMagnitude());
            System.out.printf("Sentiment score : %.3f\n", sentiment.getScore());
        }
        return sentiment;
    }
// [END analyze_sentiment_file]
}
Also used : LanguageServiceClient(com.google.cloud.language.v1.LanguageServiceClient) AnalyzeSentimentResponse(com.google.cloud.language.v1.AnalyzeSentimentResponse) Document(com.google.cloud.language.v1.Document) Sentiment(com.google.cloud.language.v1.Sentiment)

Example 9 with Sentiment

use of com.google.cloud.language.v1beta2.Sentiment in project java-docs-samples by GoogleCloudPlatform.

the class AnalyzeBeta method analyzeSentimentText.

/**
 * Detects sentiments from the string {@code text}.
 */
public static Sentiment analyzeSentimentText(String text, String lang) throws Exception {
    // Instantiate a beta client : com.google.cloud.language.v1beta2.LanguageServiceClient
    try (LanguageServiceClient language = LanguageServiceClient.create()) {
        // NL auto-detects the language, if not provided
        Document doc;
        if (lang != null) {
            doc = Document.newBuilder().setLanguage(lang).setContent(text).setType(Type.PLAIN_TEXT).build();
        } else {
            doc = Document.newBuilder().setContent(text).setType(Type.PLAIN_TEXT).build();
        }
        AnalyzeSentimentResponse response = language.analyzeSentiment(doc);
        Sentiment sentiment = response.getDocumentSentiment();
        if (sentiment != null) {
            System.out.println("Found sentiment.");
            System.out.printf("\tMagnitude: %.3f\n", sentiment.getMagnitude());
            System.out.printf("\tScore: %.3f\n", sentiment.getScore());
        } else {
            System.out.println("No sentiment found");
        }
        return sentiment;
    }
// [END beta_sentiment_text]
}
Also used : LanguageServiceClient(com.google.cloud.language.v1beta2.LanguageServiceClient) AnalyzeSentimentResponse(com.google.cloud.language.v1beta2.AnalyzeSentimentResponse) Document(com.google.cloud.language.v1beta2.Document) Sentiment(com.google.cloud.language.v1beta2.Sentiment)

Example 10 with Sentiment

use of com.google.cloud.language.v1beta2.Sentiment in project java-docs-samples by GoogleCloudPlatform.

the class AnalyzeIT method analyzeSentimentText_returnNegative.

@Test
public void analyzeSentimentText_returnNegative() throws Exception {
    Sentiment sentiment = Analyze.analyzeSentimentText("That was the worst performance I've seen in a while.");
    assertThat(sentiment.getMagnitude()).isGreaterThan(0.0F);
    assertThat(sentiment.getScore()).isLessThan(0.0F);
}
Also used : Sentiment(com.google.cloud.language.v1.Sentiment) Test(org.junit.Test)

Aggregations

Sentiment (com.google.cloud.language.v1.Sentiment)9 Test (org.junit.Test)6 Document (com.google.cloud.language.v1.Document)4 LanguageServiceClient (com.google.cloud.language.v1.LanguageServiceClient)3 AnalyzeSentimentResponse (com.google.cloud.language.v1.AnalyzeSentimentResponse)2 Sentiment (com.google.cloud.language.v1beta2.Sentiment)2 LanguageServiceClient (com.google.cloud.language.spi.v1.LanguageServiceClient)1 AnalyzeSentimentResponse (com.google.cloud.language.v1beta2.AnalyzeSentimentResponse)1 Document (com.google.cloud.language.v1beta2.Document)1 LanguageServiceClient (com.google.cloud.language.v1beta2.LanguageServiceClient)1