Java tutorial
/* * Carrot2 project. * * Copyright (C) 2002-2014, Dawid Weiss, Stanisaw Osiski. * All rights reserved. * * Refer to the full license file "carrot2.LICENSE" * in the root folder of the repository checkout or at: * http://www.carrot2.org/carrot2.LICENSE */ package org.carrot2.examples.core; import java.io.PrintWriter; import java.util.ArrayList; import java.util.Map; import org.carrot2.clustering.lingo.LingoClusteringAlgorithm; import org.carrot2.core.Controller; import org.carrot2.core.ControllerFactory; import org.carrot2.core.Document; import org.carrot2.core.ProcessingResult; import org.carrot2.core.attribute.CommonAttributesDescriptor; import org.carrot2.examples.SampleDocumentData; import org.carrot2.examples.clustering.ClusteringDataFromDocumentSources; import com.google.common.collect.Maps; /** * This example shows how to save clustering results as JSON. * <p> * It is assumed that you are familiar with {@link ClusteringDataFromDocumentSources} * example. * </p> */ public class SavingResultsToJson { public static void main(String[] args) throws Exception { // Let's fetch some results from MSN first final Controller controller = ControllerFactory.createSimple(); final Map<String, Object> attributes = Maps.newHashMap(); CommonAttributesDescriptor.attributeBuilder(attributes) .documents(new ArrayList<Document>(SampleDocumentData.DOCUMENTS_DATA_MINING)).query("data mining"); final ProcessingResult result = controller.process(attributes, LingoClusteringAlgorithm.class); // Now, we can serialize the entire result to XML like this result.serializeJson(new PrintWriter(System.out)); System.out.println(); // Optionally, we can provide a callback for JSON-P-style calls result.serializeJson(new PrintWriter(System.out), "loadResults", true /* indent */, false /* save documents */, true /* save clusters */); } }