Package org.carrot2.core

Examples of org.carrot2.core.Controller.process()

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                final Map<String, Object> attributes = Maps.newHashMap();
                CommonAttributesDescriptor.attributeBuilder(attributes)
                    .query("data mining");

                // Pass component ids to the controller to perform processing
                final ProcessingResult result = controller.process(attributes,
                    sourceIds.get(s), algorithmIds.get(a));
                ConsoleFormatter.displayClusters(result.getClusters());
                System.out.println();
            }
        }
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        CommonAttributesDescriptor.attributeBuilder(attrs)
            .results(50)
            .query("data mining");
       
        controller.process(attrs,
            org.carrot2.webapp.source.WebDocumentSource.class, LingoClusteringAlgorithm.class);              

        attrs.clear();
        CommonAttributesDescriptor.attributeBuilder(attrs)
            .results(50)
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        CommonAttributesDescriptor.attributeBuilder(attrs)
            .results(50)
            .query(WebDocumentSource.QUERY_FAILURE);

        try {
            controller.process(attrs,
                org.carrot2.webapp.source.WebDocumentSource.class, LingoClusteringAlgorithm.class);
            fail();
        } catch (ProcessingException e) {
            assertThat(e.getCause().getMessage()).contains("Synthetic failure");
        }
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            /*
             * Perform clustering by topic using the Lingo algorithm. Lingo can
             * take advantage of the original query, so we provide it along with the documents.
             */
            final ProcessingResult byTopicClusters = controller.process(documents, "data mining",
                LingoClusteringAlgorithm.class);
            final List<Cluster> clustersByTopic = byTopicClusters.getClusters();
           
            /* Perform clustering by domain. In this case query is not useful, hence it is null. */
            final ProcessingResult byDomainClusters = controller.process(documents, null,
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            final ProcessingResult byTopicClusters = controller.process(documents, "data mining",
                LingoClusteringAlgorithm.class);
            final List<Cluster> clustersByTopic = byTopicClusters.getClusters();
           
            /* Perform clustering by domain. In this case query is not useful, hence it is null. */
            final ProcessingResult byDomainClusters = controller.process(documents, null,
                ByUrlClusteringAlgorithm.class);
            final List<Cluster> clustersByDomain = byDomainClusters.getClusters();
            // [[[end:clustering-document-list]]]
           
            ConsoleFormatter.displayClusters(clustersByTopic);
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            /* Put your own API key here or in a system property! */
            Bing3WebDocumentSourceDescriptor.attributeBuilder(attributes)
                .appid(appid)
                .market((MarketOption) null);

            ProcessingResult result = controller.process(attributes, Bing3WebDocumentSource.class);
            Persister p = new Persister();
            p.write(result, new File("result.xml"));
        } finally {
            controller.dispose();
        }       
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        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();
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            // 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 =
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            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);
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        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.serialize(System.out);
        System.out.println();
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