forked from D-Net/dnet-hadoop
75 lines
1.9 KiB
Java
75 lines
1.9 KiB
Java
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package eu.dnetlib.pace.tree;
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import java.util.Map;
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import java.util.Set;
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import com.wcohen.ss.AbstractStringDistance;
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import eu.dnetlib.pace.config.Config;
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import eu.dnetlib.pace.tree.support.AbstractStringComparator;
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import eu.dnetlib.pace.tree.support.ComparatorClass;
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@ComparatorClass("jaroWinklerNormalizedName")
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public class JaroWinklerNormalizedName extends AbstractStringComparator {
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private Map<String, String> params;
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public JaroWinklerNormalizedName(Map<String, String> params) {
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super(params, new com.wcohen.ss.JaroWinkler());
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this.params = params;
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}
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public JaroWinklerNormalizedName(double weight) {
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super(weight, new com.wcohen.ss.JaroWinkler());
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}
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protected JaroWinklerNormalizedName(double weight, AbstractStringDistance ssalgo) {
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super(weight, ssalgo);
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}
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@Override
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public double distance(String a, String b, final Config conf) {
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String ca = cleanup(a);
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String cb = cleanup(b);
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ca = normalize(ca);
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cb = normalize(cb);
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ca = filterAllStopWords(ca);
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cb = filterAllStopWords(cb);
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Set<String> keywords1 = getKeywords(
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ca, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
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Set<String> keywords2 = getKeywords(
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cb, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
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Set<String> cities1 = getCities(ca, Integer.parseInt(params.getOrDefault("windowSize", "4")));
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Set<String> cities2 = getCities(cb, Integer.parseInt(params.getOrDefault("windowSize", "4")));
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ca = removeKeywords(ca, keywords1);
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ca = removeKeywords(ca, cities1);
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cb = removeKeywords(cb, keywords2);
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cb = removeKeywords(cb, cities2);
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ca = ca.replaceAll("[ ]{2,}", " ");
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cb = cb.replaceAll("[ ]{2,}", " ");
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if (ca.isEmpty() && cb.isEmpty())
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return 1.0;
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else
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return normalize(ssalgo.score(ca, cb));
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}
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@Override
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public double getWeight() {
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return super.weight;
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}
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@Override
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protected double normalize(double d) {
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return d;
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}
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}
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