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());
}
}
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]
}
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]
}
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]
}
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);
}
Aggregations