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.InputStream; import java.util.Map; import org.carrot2.clustering.lingo.LingoClusteringAlgorithm; import org.carrot2.core.Controller; import org.carrot2.core.ControllerFactory; import org.carrot2.core.ProcessingResult; import org.carrot2.core.attribute.CommonAttributesDescriptor; import org.carrot2.examples.ConsoleFormatter; import org.carrot2.examples.SampleDocumentData; import org.carrot2.util.CloseableUtils; import org.carrot2.util.attribute.AttributeValueSets; import com.google.common.collect.Lists; import com.google.common.collect.Maps; /** * This example shows how load a set of attribute values from an XML stream. * * @see SavingAttributeValuesToXml * @see <a href="http://download.carrot2.org/head/manual/#section.customizing.component-suites-and-attributes.saving-with-workbench">Saving attributes to XML using Carrot2 Document Clustering Workbench</a> */ public class LoadingAttributeValuesFromXml { public static void main(String[] args) throws Exception { InputStream xmlStream = null; try { xmlStream = LoadingAttributeValuesFromXml.class.getResourceAsStream("algorithm-lingo-attributes.xml"); // Load attribute value sets from the XML stream final AttributeValueSets attributeValueSets = AttributeValueSets.deserialize(xmlStream); // Get the desired set of attribute values for use with further processing final Map<String, Object> defaultAttributes = attributeValueSets.getDefaultAttributeValueSet() .getAttributeValues(); final Map<String, Object> fasterClusteringAttributes = attributeValueSets .getAttributeValueSet("faster-clustering").getAttributeValues(); // Perform processing using the attribute values final Controller controller = ControllerFactory.createSimple(); // Initialize the controller with one attribute set controller.init(fasterClusteringAttributes); // Perform clustering using the attribute set provided at initialization time Map<String, Object> requestAttributes = Maps.newHashMap(); CommonAttributesDescriptor.attributeBuilder(requestAttributes) .documents(Lists.newArrayList(SampleDocumentData.DOCUMENTS_DATA_MINING)).query("data mining"); ProcessingResult results = controller.process(requestAttributes, LingoClusteringAlgorithm.class); ConsoleFormatter.displayClusters(results.getClusters()); // Perform clustering using some other attribute set, in this case the // one that is the default in the XML file. requestAttributes = CommonAttributesDescriptor.attributeBuilder(Maps.newHashMap(defaultAttributes)) .documents(Lists.newArrayList(SampleDocumentData.DOCUMENTS_DATA_MINING)) .query("data mining").map; results = controller.process(requestAttributes, LingoClusteringAlgorithm.class); ConsoleFormatter.displayClusters(results.getClusters()); } finally { CloseableUtils.close(xmlStream); } } }