use of com.google.cloud.language.v1beta2.LanguageServiceClient in project java-docs-samples by GoogleCloudPlatform.
the class Analyze method classifyText.
/**
* Detects categories in text using the Language Beta API.
*/
public static void classifyText(String text) throws Exception {
// Instantiate the Language client com.google.cloud.language.v1.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 Analyze method analyzeEntitiesText.
/**
* Identifies entities in the string {@code text}.
*/
public static void analyzeEntitiesText(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();
AnalyzeEntitiesRequest request = AnalyzeEntitiesRequest.newBuilder().setDocument(doc).setEncodingType(EncodingType.UTF16).build();
AnalyzeEntitiesResponse response = language.analyzeEntities(request);
// Print the response
for (Entity entity : response.getEntitiesList()) {
System.out.printf("Entity: %s", entity.getName());
System.out.printf("Salience: %.3f\n", entity.getSalience());
System.out.println("Metadata: ");
for (Map.Entry<String, String> entry : entity.getMetadataMap().entrySet()) {
System.out.printf("%s : %s", entry.getKey(), entry.getValue());
}
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("Type: %s\n\n", mention.getType());
}
}
}
// [END analyze_entities_text]
}
use of com.google.cloud.language.v1beta2.LanguageServiceClient in project java-docs-samples by GoogleCloudPlatform.
the class Analyze method classifyFile.
/**
* Detects categories in a GCS hosted file using the Language Beta API.
*/
public static void classifyFile(String gcsUri) throws Exception {
// 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());
}
}
// [END classify_file]
}
use of com.google.cloud.language.v1beta2.LanguageServiceClient 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.LanguageServiceClient in project java-docs-samples by GoogleCloudPlatform.
the class Analyze method analyzeSyntaxText.
/**
* from the string {@code text}.
*/
public static List<Token> analyzeSyntaxText(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();
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_text]
}
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