/*
* Copyright 2013
* Ubiquitous Knowledge Processing (UKP) Lab
* Technische Universität Darmstadt
*
* Licensed 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 de.tudarmstadt.ukp.dkpro.core.frequency.tfidf.model;
import java.io.Serializable;
import java.util.Set;
import java.util.TreeSet;
import de.tudarmstadt.ukp.dkpro.core.frequency.tfidf.TfidfAnnotator;
import de.tudarmstadt.ukp.dkpro.core.frequency.tfidf.TfidfConsumer;
import de.tudarmstadt.ukp.dkpro.core.frequency.tfidf.util.FreqDist;
/**
* Container that stores the document frequency and additional data in a collection of documents. To
* be filled and serialized by {@link TfidfConsumer} and deserialized and used by
* {@link TfidfAnnotator}.
*
*/
public class DfStore
implements DfModel, Serializable
{
private static final long serialVersionUID = -7052868467568275617L;
private final FreqDist<String> df;
private String featurePath;
private int documentCount = 0;
private Set<String> termsInThisDocument;
private final boolean lowercase;
public DfStore()
{
df = new FreqDist<String>();
lowercase = false;
}
public DfStore(String featurePath, boolean convertToLowercase)
{
df = new FreqDist<String>();
this.featurePath = featurePath;
this.lowercase = convertToLowercase;
}
/**
* Call this method when starting processing a new document.
*/
public void registerNewDocument()
{
documentCount++;
termsInThisDocument = new TreeSet<String>();
}
public void countTerm(String term)
{
termsInThisDocument.add(term);
}
/**
* Call this method when processing of document is over.
*/
public void closeCurrentDocument()
{
df.count(termsInThisDocument);
termsInThisDocument = null;
}
@Override
public int getDf(String term)
{
return df.getCount(term);
}
@Override
public int getDocumentCount()
{
return documentCount;
}
@Override
public String getFeaturePath()
{
return featurePath;
}
@Override
public boolean getLowercase()
{
return lowercase;
}
}