/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.
*/
package opennlp.tools.cmdline.doccat;
import java.io.File;
import java.io.IOException;
import java.io.InputStreamReader;
import opennlp.tools.cmdline.BasicCmdLineTool;
import opennlp.tools.cmdline.CLI;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.PerformanceMonitor;
import opennlp.tools.doccat.DoccatModel;
import opennlp.tools.doccat.DocumentCategorizerME;
import opennlp.tools.doccat.DocumentSample;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.ParagraphStream;
import opennlp.tools.util.PlainTextByLineStream;
import opennlp.tools.tokenize.WhitespaceTokenizer;
public class DoccatTool extends BasicCmdLineTool {
public String getShortDescription() {
return "learnable document categorizer";
}
public String getHelp() {
return "Usage: " + CLI.CMD + " " + getName() + " model < documents";
}
public void run(String[] args) {
if (0 == args.length) {
System.out.println(getHelp());
} else {
DoccatModel model = new DoccatModelLoader().load(new File(args[0]));
DocumentCategorizerME doccat = new DocumentCategorizerME(model);
ObjectStream<String> documentStream = new ParagraphStream(
new PlainTextByLineStream(new InputStreamReader(System.in)));
PerformanceMonitor perfMon = new PerformanceMonitor(System.err, "doc");
perfMon.start();
try {
String document;
while ((document = documentStream.read()) != null) {
double prob[] = doccat.categorize(WhitespaceTokenizer.INSTANCE.tokenize(document));
String category = doccat.getBestCategory(prob);
DocumentSample sample = new DocumentSample(category, document);
System.out.println(sample.toString());
perfMon.incrementCounter();
}
}
catch (IOException e) {
CmdLineUtil.handleStdinIoError(e);
}
perfMon.stopAndPrintFinalResult();
}
}
}