内容简介:样本代码:使用 Watson Tone Analysis 服务识别书面文本的语气
import java.util.List;
import com.google.gson.JsonObject; import com.google.gson.JsonParser;
import com.ibm.watson.developer_cloud.tone_analyzer.v3.ToneAnalyzer; import com.ibm.watson.developer_cloud.tone_analyzer.v3.model.ElementTone; import com.ibm.watson.developer_cloud.tone_analyzer.v3.model.ToneAnalysis; import com.ibm.watson.developer_cloud.tone_analyzer.v3.model.ToneCategory; import com.ibm.watson.developer_cloud.tone_analyzer.v3.model.ToneScore;
public class CheckTheTone {
private static String textToAnalyze = "I know the times are difficult!Our sales have been " + "disappointing for the past three quarters for our data analytics " + "product suite.We have a competitive data analytics product " + "suite in the industry.But we need to do our job selling it!" + "We need to acknowledge and fix our sales challenges." + "We can't blame the economy for our lack of execution!" + "We are missing critical sales opportunities." + "Our product is in no way inferior to the competitor products." + "Our clients are hungry for analytical tools to improve their " + "business outcomes.Economy has nothing to do with it.";
private static String data = "{"textToAnalyze":"" + textToAnalyze + ""," + " "username" :""," + " "password" :""," + " "endpoint" :"https://sandbox-watson-proxy.mybluemix.net/tone-analyzer/api"," + " "skip_authentication":"true"}";
public static void main(String[] args) { JsonParser parser = new JsonParser(); JsonObject jsonArgs = parser.parse(data).getAsJsonObject(); main(jsonArgs); }
public static JsonObject main(JsonObject args) { JsonParser parser = new JsonParser();
ToneAnalyzer service = new ToneAnalyzer("2016-05-19"); service.setUsernameAndPassword(args.get("username").getAsString(), args.get("password").getAsString()); if (args.get("endpoint")!=null) service.setEndPoint(args.get("endpoint").getAsString()); if (args.get("skip_authentication") != null) service.setSkipAuthentication((args.get("skip_authentication") .getAsString() == "true") ? true : false); ToneAnalysis result = service.getTone(args.get("textToAnalyze").getAsString(), null). execute(); ElementTone elementTone = result.getDocumentTone(); List<ToneCategory> toneCategories = elementTone.getTones(); for (ToneCategory nextCategory : toneCategories) { System.out.println("Analysis for " + nextCategory.getName()); List<ToneScore> toneScores = nextCategory.getTones(); for (ToneScore nextScore : toneScores) { System.out.println(" " + nextScore.getName() + " = " + (int)(nextScore.getScore() * 100) + "%"); } System.out.println(); } JsonObject returnObject = parser.parse(result.toString()).getAsJsonObject(); return returnObject;
} }
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