/*
 * Copyright 2017 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *       http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

/*
 * EDITING INSTRUCTIONS
 * This file is referenced in READMEs. Any change to this file should be reflected in
 * the project's READMEs.
 */

package com.google.cloud.examples.language.snippets;

import com.google.cloud.language.v1.LanguageServiceClient;

import com.google.cloud.language.v1.Document;
import com.google.cloud.language.v1.Document.Type;
import com.google.cloud.language.v1.Sentiment;

/**
 * A snippet for Google Cloud Speech API showing how to analyze text message sentiment.
 */
public class AnalyzeSentiment {

  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());
    }
  }
}
