use of com.google.cloud.language.v1beta2.LanguageServiceClient in project java-docs-samples by GoogleCloudPlatform.
the class Analyze method analyzeSyntaxFile.
/**
* Get the syntax of the GCS hosted file.
*/
public static List<Token> analyzeSyntaxFile(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();
AnalyzeSyntaxRequest request = AnalyzeSyntaxRequest.newBuilder().setDocument(doc).setEncodingType(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();
}
// [END analyze_syntax_file]
}
use of com.google.cloud.language.v1beta2.LanguageServiceClient in project java-docs-samples by GoogleCloudPlatform.
the class Analyze method entitySentimentText.
/**
* Detects the entity sentiments in the string {@code text} using the Language Beta API.
*/
public static void entitySentimentText(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();
AnalyzeEntitySentimentRequest request = AnalyzeEntitySentimentRequest.newBuilder().setDocument(doc).setEncodingType(EncodingType.UTF16).build();
// detect entity sentiments in the given string
AnalyzeEntitySentimentResponse response = language.analyzeEntitySentiment(request);
// Print the response
for (Entity entity : response.getEntitiesList()) {
System.out.printf("Entity: %s\n", entity.getName());
System.out.printf("Salience: %.3f\n", entity.getSalience());
System.out.printf("Sentiment : %s\n", entity.getSentiment());
for (EntityMention mention : entity.getMentionsList()) {
System.out.printf("Begin offset: %d\n", mention.getText().getBeginOffset());
System.out.printf("Content: %s\n", mention.getText().getContent());
System.out.printf("Magnitude: %.3f\n", mention.getSentiment().getMagnitude());
System.out.printf("Sentiment score : %.3f\n", mention.getSentiment().getScore());
System.out.printf("Type: %s\n\n", mention.getType());
}
}
}
// [END entity_sentiment_text]
}
use of com.google.cloud.language.v1beta2.LanguageServiceClient 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.LanguageServiceClient in project java-docs-samples by GoogleCloudPlatform.
the class AnalyzeBeta method classifyText.
/**
* Detects categories in text using the Language Beta API.
*/
public static void classifyText(String text) throws Exception {
// Instantiate a beta client : com.google.cloud.language.v1beta2.LanguageServiceClient
try (LanguageServiceClient language = LanguageServiceClient.create()) {
// set content to the text string
Document doc = Document.newBuilder().setContent(text).setType(Type.PLAIN_TEXT).build();
ClassifyTextRequest request = ClassifyTextRequest.newBuilder().setDocument(doc).build();
// detect categories in the given text
ClassifyTextResponse response = language.classifyText(request);
for (ClassificationCategory category : response.getCategoriesList()) {
System.out.printf("Category name : %s, Confidence : %.3f\n", category.getName(), category.getConfidence());
}
}
// [END classify_text]
}
use of com.google.cloud.language.v1beta2.LanguageServiceClient in project java-docs-samples by GoogleCloudPlatform.
the class QuickstartSample method main.
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());
}
}
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