forked from D-Net/dnet-hadoop
addition of doi normalization in PidMatch comparator, addition of keywordsclustering (clustering based on terms in the translation maps for the organizations), minor changes
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2dcffb965f
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@ -0,0 +1,39 @@
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package eu.dnetlib.pace.clustering;
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import com.google.common.base.Joiner;
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import eu.dnetlib.pace.common.AbstractPaceFunctions;
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import java.util.*;
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@ClusteringClass("keywordsclustering")
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public class KeywordsClustering extends AbstractClusteringFunction {
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private static Map<String,String> translationMap = AbstractPaceFunctions.loadMapFromClasspath("/eu/dnetlib/pace/config/translation_map.csv");
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private static Map<String,String> cityMap = AbstractPaceFunctions.loadMapFromClasspath("/eu/dnetlib/pace/config/city_map.csv");
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public KeywordsClustering(Map<String, Integer> params) {
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super(params);
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}
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@Override
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protected Collection<String> doApply(String s) {
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List<String> keywords = getCodes(s, translationMap, params.getOrDefault("windowSize", 4));
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List<String> cities = getCodes(s, cityMap, params.getOrDefault("windowSize", 4));
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final Collection<String> combinations = new LinkedHashSet<String>();
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int size = 0;
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for (String keyword: keywords){
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for (String city: cities) {
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combinations.add(keyword+"-"+city);
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if (++size>params.getOrDefault("max", 2)) {
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return combinations;
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}
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}
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}
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return combinations;
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}
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}
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@ -40,6 +40,8 @@ public abstract class AbstractPaceFunctions {
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private static final String aliases_from = "⁰¹²³⁴⁵⁶⁷⁸⁹⁺⁻⁼⁽⁾ⁿ₀₁₂₃₄₅₆₇₈₉₊₋₌₍₎àáâäæãåāèéêëēėęîïíīįìôöòóœøōõûüùúūßśšłžźżçćčñń";
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private static final String aliases_to = "0123456789+-=()n0123456789+-=()aaaaaaaaeeeeeeeiiiiiioooooooouuuuussslzzzcccnn";
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public final String DOI_PREFIX = "(https?:\\/\\/dx\\.doi\\.org\\/)|(doi:)";
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protected final static FieldList EMPTY_FIELD = new FieldListImpl();
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protected String concat(final List<String> l) {
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@ -313,5 +315,41 @@ public abstract class AbstractPaceFunctions {
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return Iterables.limit(Splitter.on(" ").omitEmptyStrings().trimResults().split(s), maxTokens);
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}
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public String normalizePid(String pid) {
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return pid.toLowerCase().replaceAll(DOI_PREFIX, "");
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}
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//get the list of codes into the input string
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public List<String> getCodes(String s1, Map<String, String> translationMap, int windowSize){
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String s = cleanup(s1);
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s = filterAllStopWords(s);
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List<String> tokens = Arrays.asList(s.toLowerCase().split(" "));
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List<String> codes = new ArrayList<>();
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if (tokens.size()<windowSize)
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windowSize = tokens.size();
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int length = windowSize;
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while (length != 0) {
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for (int i = 0; i<=tokens.size()-length; i++){
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String candidate = Joiner.on(" ").join(tokens.subList(i, i + length));
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if (translationMap.containsKey(candidate)) {
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codes.add(translationMap.get(candidate));
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s = s.replace(candidate, "");
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}
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}
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tokens = Arrays.asList(s.split(" "));
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length-=1;
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}
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return codes;
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}
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}
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@ -52,9 +52,11 @@ public class PidMatch extends AbstractCondition {
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return new ConditionEval(cond, a, b, result);
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}
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//lowercase + normalization of the pid before adding it to the set
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private Set<String> toHashSet(List<Pid> pbl) {
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return pbl.stream()
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.map(pid -> pid.getType() + pid.getValue())
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.map(pid -> pid.getType() + normalizePid(pid.getValue()))
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.collect(Collectors.toCollection(HashSet::new));
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}
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@ -43,8 +43,11 @@ public class JaroWinklerNormalizedName extends SecondStringDistanceAlgo {
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String ca = cleanup(a);
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String cb = cleanup(b);
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ca = removeStopwords(ca);
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cb = removeStopwords(cb);
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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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//replace keywords with codes
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String codesA = keywordsToCode(ca, translationMap, params.getOrDefault("windowSize", 4).intValue());
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@ -80,16 +83,4 @@ public class JaroWinklerNormalizedName extends SecondStringDistanceAlgo {
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return d;
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}
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public String removeStopwords(String s) {
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String normString = normalize(s);
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normString = filterStopWords(normString, stopwordsIt);
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normString = filterStopWords(normString, stopwordsEn);
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normString = filterStopWords(normString, stopwordsDe);
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normString = filterStopWords(normString, stopwordsFr);
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normString = filterStopWords(normString, stopwordsPt);
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normString = filterStopWords(normString, stopwordsEs);
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return normString;
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}
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}
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@ -7915,7 +7915,7 @@ city::5134086;Rochester;Ga-sko-sa-ga;Gaskosago;ROC;Rocestera;Rocesteris;Rocestro
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city::5136454;Schenectady;SCH;Schenectady;Shinetadi;Skanehtati;Skanéhtati;Skenektadi;Skenektadis;Skunektadi;seukinegteodi;si ke nei ke ta di;sknktdy nywywrk;sknyktady;sqnqtdy;sukenekutadi;Скенектади;Скенектаді;Скънектади;Шинетади;סקנקטדי;سكنيكتادي;سکنکتدی، نیویورک;سکینکٹڈی ، نیویارک;سکینیکٹیڈی، نیو یارک;スケネクタディ;斯克内克塔迪;스키넥터디;
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city::5137849;Sheepshead Bay;;
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city::5139568;Staten Island;Borough of Staten Island;Staten Island;
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city::5140405;Syracuse;Bogardus Corners;Cossitts Corners;Gorad Sirakjus;Kah-ya-hoo-neh;Ken-tue-ho-ne;Milan;Na-ta-dunk;SYR;Siracusa;Sirak'jus;Sirakjus;Sirakjuz;Sirakuso;Sirakuz;South Salina;Sy-kuse;Syracusae;Syracuse;Syracuse i New York;Tu-na-ten-tonk;sayrakywz;shirakyusu;shirakyuzu;sileokyuseu;sirekyuja;syrakywz;syrakywz nyw yark;syrakywz nywywrk;syrqywz;xi la qiu ci;Горад Сіракюс;Сиракуз;Сиракьюс;Сиракюз;Сиракјус;Сіракюс;סירקיוז;سائراکیوز;سيراكيوز;سیراکیوز، نیو یارک;سیراکیوز، نیویورک;सिरॅक्युज;სირაკიუსი;シラキュース;シラキューズ;锡拉丘兹;시러큐스;
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city::5140405;Syracuse;Bogardus Corners;Cossitts Corners;Gorad Sirakjus;Kah-ya-hoo-neh;Ken-tue-ho-ne;Na-ta-dunk;SYR;Siracusa;Sirak'jus;Sirakjus;Sirakjuz;Sirakuso;Sirakuz;South Salina;Sy-kuse;Syracusae;Syracuse;Syracuse i New York;Tu-na-ten-tonk;sayrakywz;shirakyusu;shirakyuzu;sileokyuseu;sirekyuja;syrakywz;syrakywz nyw yark;syrakywz nywywrk;syrqywz;xi la qiu ci;Горад Сіракюс;Сиракуз;Сиракьюс;Сиракюз;Сиракјус;Сіракюс;סירקיוז;سائراکیوز;سيراكيوز;سیراکیوز، نیو یارک;سیراکیوز، نیویورک;सिरॅक्युज;სირაკიუსი;シラキュース;シラキューズ;锡拉丘兹;시러큐스;
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city::5142056;Utica;Fort Schuyler;Gorad Jutyka;Iotekha;Iotékha;Jutika;Nundadasis;Old Fort Schuyler;Tevadahahtodague;Twa-dah-ah-lo-dah-que;UCA;Unungagages;Utica;Utika;Yanundadasis;ZUA;awtyka;you ti ka;yutika;ywtyka nywywrk;ywtyqh;Јутика;Горад Ютыка;Утика;Ютика;Ютіка;יוטיקה;أوتيكا;یوتیکا، نیویورک;یوٹیکا، نیو یارک;ユーティカ;由提卡;
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city::5143056;Wakefield;;
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city::5143307;Washington Heights;Harlem Heights;Pen-a-bick;Washington Heights;washintonhaitsu;wosingteonhaicheu;ワシントンハイツ;워싱턴하이츠;
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Can't render this file because it is too large.
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@ -332,7 +332,6 @@ male
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malgrado
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malissimo
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mancanza
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marche
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me
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medesimo
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mediante
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@ -38,7 +38,7 @@ key::37;federation;federazione;fédération;федерация;federatie;ομο
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key::38;observatory;osservatorio;observatoire;обсерватория;observatorium;αστεροσκοπείο
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key::39;bureau;ufficio;bureau;офис;bureau;γραφείο
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key::40;company;impresa;compagnie;société;компания;bedrijf;εταιρία
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key::41;polytechnic;politecnico;polytechnique;политехника;polytechnisch;πολυτεχνείο
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key::41;polytechnic;politecnico;polytechnique;политехника;polytechnisch;πολυτεχνείο;universita politecnica;polytechnic university
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key::42;coalition;coalizione;coalition;коалиция;coalitie;συνασπισμός
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key::43;initiative;iniziativa;initiative;инициатива;initiatief;πρωτοβουλία
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key::44;academic;accademico;académique;universitaire;акадеческий academisch;ακαδημαϊκός;ακαδημαϊκή;ακαδημαϊκό;ακαδημαϊκές;ακαδημαϊκοί
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@ -117,4 +117,19 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
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System.out.println(cf.apply(Lists.newArrayList(person(s))));
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}
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@Test
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public void testKeywordsClustering() {
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final ClusteringFunction cf = new KeywordsClustering(params);
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final String s = "Polytechnic University of Turin";
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System.out.println(s);
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System.out.println(cf.apply(Lists.newArrayList(title(s))));
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final String s1 = "POLITECNICO DI TORINO";
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System.out.println(s1);
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System.out.println(cf.apply(Lists.newArrayList(title(s1))));
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}
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}
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@ -0,0 +1,25 @@
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package eu.dnetlib.pace.common;
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import org.junit.Test;
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import static junit.framework.Assert.assertEquals;
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import static junit.framework.Assert.assertTrue;
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public class PaceFunctionTest extends AbstractPaceFunctions {
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@Test
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public void normalizePidTest(){
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assertEquals("identifier", normalizePid("IdentifIer"));
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assertEquals("10.1109/tns.2015.2493347", normalizePid("10.1109/TNS.2015.2493347"));
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assertEquals("10.0001/testdoi", normalizePid("http://dx.doi.org/10.0001/testDOI"));
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assertEquals("10.0001/testdoi", normalizePid("https://dx.doi.org/10.0001/testDOI"));
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}
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@Test
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public void filterAllStopwordsTest(){
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assertEquals("universita politecnica marche", filterAllStopWords("universita politecnica delle marche"));
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}
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}
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package eu.dnetlib.pace.condition;
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import eu.dnetlib.pace.AbstractPaceTest;
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public class ConditionTest extends AbstractPaceTest {
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}
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@ -104,4 +104,14 @@ public class DistanceAlgoTest extends AbstractPaceFunctions {
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}
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@Test
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public void testJaroWinklerNormalizedName7() {
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final JaroWinklerNormalizedName jaroWinklerNormalizedName = new JaroWinklerNormalizedName(params);
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double result = jaroWinklerNormalizedName.distance("Polytechnic University of Turin", "POLITECNICO DI TORINO");
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System.out.println("result = " + result);
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assertTrue(result> 0.9);
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}
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}
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