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()); } } }
Document doc = Document.newBuilder() .setContent(text) .setType(Type.PLAIN_TEXT) .build(); AnalyzeEntitiesRequest request = AnalyzeEntitiesRequest.newBuilder()
.setType(Type.PLAIN_TEXT) .build(); AnalyzeEntitiesRequest request = AnalyzeEntitiesRequest.newBuilder()
@Override public void process(InputStream inputStream) throws IOException { StringWriter writer = new StringWriter(); IOUtils.copy(inputStream, writer, "UTF-8"); String flowFileString = writer.toString(); Document doc = Document.newBuilder() .setContent(flowFileString).setType(Document.Type.PLAIN_TEXT).build(); result.set(languageClient.analyzeSentiment(doc)); } });
Document doc = Document.newBuilder() .setGcsContentUri(gcsUri) .setType(Type.PLAIN_TEXT) .build(); AnalyzeSyntaxRequest request = AnalyzeSyntaxRequest.newBuilder()
Document doc = Document.newBuilder() .setContent(text) .setType(Type.PLAIN_TEXT) .build(); AnalyzeSyntaxRequest request = AnalyzeSyntaxRequest.newBuilder()
/** * Detects the entity sentiments in the string {@code text} using the Language Beta API. */ public static void entitySentimentText(String text) throws Exception { // [START language_entity_sentiment_text] // 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 language_entity_sentiment_text] }
Document doc = Document.newBuilder() .setGcsContentUri(gcsUri) .setType(Type.PLAIN_TEXT) .build(); AnalyzeEntitySentimentRequest request = AnalyzeEntitySentimentRequest.newBuilder()
/** * Detects categories in a GCS hosted file using the Language Beta API. */ public static void classifyFile(String gcsUri) throws Exception { // [START language_classify_gcs] // 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 language_classify_gcs] }
/** * Detects categories in text using the Language Beta API. */ public static void classifyText(String text) throws Exception { // [START language_classify_text] // 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 language_classify_text] }
/** * Identifies the sentiment in the string {@code text}. */ public static Sentiment analyzeSentimentText(String text) throws Exception { // [START language_sentiment_text] // 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 language_sentiment_text] }
/** * Gets {@link Sentiment} from the contents of the GCS hosted file. */ public static Sentiment analyzeSentimentFile(String gcsUri) throws Exception { // [START language_sentiment_gcs] // 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 language_sentiment_gcs] }
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()); } } }
public static void executeNoCatch() throws Exception { try (LanguageServiceClient client = LanguageServiceClient.create()) { String content = "Hello, world!"; Document.Type type = Document.Type.PLAIN_TEXT; Document document = Document.newBuilder().setContent(content).setType(type).build(); AnalyzeSentimentResponse response = client.analyzeSentiment(document); } }