caching indeppendent values for sentiment analyzing
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jenzur
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-1031
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/*
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* To change this license header, choose License Headers in Project Properties.
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* To change this template file, choose Tools | Templates
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* and open the template in the editor.
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*/
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package FunctionLayer.StanfordParser;
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import com.google.common.collect.MapMaker;
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import edu.stanford.nlp.ling.TaggedWord;
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import edu.stanford.nlp.trees.GrammaticalStructure;
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import edu.stanford.nlp.trees.Tree;
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import edu.stanford.nlp.trees.TypedDependency;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.List;
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import java.util.Map;
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import java.util.concurrent.ConcurrentMap;
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import org.ejml.simple.SimpleMatrix;
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/**
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*
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* @author install1
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*/
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public final class SentimentValueCache {
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private final String sentence;
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private static int counter;
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private static List<List<TaggedWord>> taggedwordlist = new ArrayList();
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private final ConcurrentMap<Integer, String> tgwlistIndex = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, Tree> sentenceConstituencyParseList = new MapMaker().concurrencyLevel(2).makeMap();
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private final Collection<TypedDependency> allTypedDependencies = new ArrayList();
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private final ConcurrentMap<Integer, GrammaticalStructure> gsMap = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, SimpleMatrix> simpleSMXlist = new MapMaker().concurrencyLevel(3).makeMap();
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private final ConcurrentMap<Integer, SimpleMatrix> simpleSMXlistVector = new MapMaker().concurrencyLevel(3).makeMap();
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private final ConcurrentMap<Integer, Integer> rnnPredictClassMap = new MapMaker().concurrencyLevel(3).makeMap();
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private static List classifyRaw;
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private static int mainSentiment = 0;
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private static int longest = 0;
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private static int tokensCounter = 0;
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private static int anotatorcounter = 0;
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private static int inflectedCounterPositive = 0;
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private static int inflectedCounterNegative = 0;
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private static int MarkedContinuousCounter = 0;
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private static int MarkedContiniousCounterEntries = 0;
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private static int UnmarkedPatternCounter = 0;
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private static int pairCounter = 0;
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private final ConcurrentMap<Integer, String> ITokenMapTag = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, String> strTokenStems = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, String> strTokenForm = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, String> strTokenGetEntry = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, String> strTokenGetiPart = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, String> strTokenEntryPOS = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, Integer> entryCounts = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, String> nerEntities1 = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, String> nerEntities2 = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, String> nerEntityTokenTags = new MapMaker().concurrencyLevel(3).makeMap();
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private final ConcurrentMap<Integer, String> stopwordTokens = new MapMaker().concurrencyLevel(2).makeMap();
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private final ConcurrentMap<Integer, String> stopWordLemma = new MapMaker().concurrencyLevel(2).makeMap();
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public final int getPairCounter() {
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return pairCounter;
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}
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public final void setPairCounter(int pairCounter) {
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SentimentValueCache.pairCounter = pairCounter;
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}
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public final void addStopWordLemma(String str) {
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stopWordLemma.put(stopWordLemma.size(), str);
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}
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public final void addstopwordTokens(String str) {
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stopwordTokens.put(stopwordTokens.size(), str);
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}
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public final ConcurrentMap<Integer, String> getStopwordTokens() {
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return stopwordTokens;
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}
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public final ConcurrentMap<Integer, String> getStopWordLemma() {
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return stopWordLemma;
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}
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public final void addnerEntityTokenTags(String str) {
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nerEntityTokenTags.put(nerEntityTokenTags.size(), str);
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}
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public final ConcurrentMap<Integer, String> getnerEntityTokenTags() {
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return nerEntityTokenTags;
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}
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public final ConcurrentMap<Integer, String> getnerEntities1() {
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return nerEntities1;
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}
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public final ConcurrentMap<Integer, String> getnerEntities2() {
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return nerEntities2;
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}
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public final void addNEREntities1(String str) {
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nerEntities1.put(nerEntities1.size(), str);
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}
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public final void addNEREntities2(String str) {
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nerEntities2.put(nerEntities2.size(), str);
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}
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public final void setTaggedwords(List<List<TaggedWord>> twlist) {
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taggedwordlist = twlist;
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}
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public final List<List<TaggedWord>> getTaggedwordlist() {
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return taggedwordlist;
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}
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public final void addEntryCounts(int counts) {
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entryCounts.put(entryCounts.size(), counts);
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}
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public final ConcurrentMap<Integer, Integer> getEntryCounts() {
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return entryCounts;
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}
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public final void addstrTokenEntryPOS(String str) {
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strTokenEntryPOS.put(strTokenEntryPOS.size(), str);
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}
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public final ConcurrentMap<Integer, String> getstrTokenEntryPOS() {
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return strTokenEntryPOS;
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}
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public final void addstrTokenGetiPart(String str) {
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strTokenGetiPart.put(strTokenGetiPart.size(), str);
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}
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public final ConcurrentMap<Integer, String> getstrTokenGetiPart() {
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return strTokenGetiPart;
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}
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public final ConcurrentMap<Integer, String> getstrTokenGetEntry() {
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return strTokenGetEntry;
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}
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public final void addstrTokenGetEntry(String str) {
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strTokenGetEntry.put(strTokenGetEntry.size(), str);
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}
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public final ConcurrentMap<Integer, String> getstrTokenForm() {
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return strTokenForm;
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}
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public final void addstrTokenForm(String str) {
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strTokenForm.put(strTokenForm.size(), str);
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}
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public final ConcurrentMap<Integer, String> getstrTokenStems() {
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return strTokenStems;
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}
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public final void addstrTokenStems(String str) {
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strTokenStems.put(strTokenStems.size(), str);
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}
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public final ConcurrentMap<Integer, String> getITokenMapTag() {
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return ITokenMapTag;
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}
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public final void addITokenMapTag(String str) {
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ITokenMapTag.put(ITokenMapTag.size(), str);
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}
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public final int getUnmarkedPatternCounter() {
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return UnmarkedPatternCounter;
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}
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public final void setUnmarkedPatternCounter(int UnmarkedPatternCounter) {
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SentimentValueCache.UnmarkedPatternCounter = UnmarkedPatternCounter;
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}
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public final int getMarkedContiniousCounterEntries() {
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return MarkedContiniousCounterEntries;
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}
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public final void setMarkedContiniousCounterEntries(int MarkedContiniousCounterEntries) {
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SentimentValueCache.MarkedContiniousCounterEntries = MarkedContiniousCounterEntries;
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}
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public final int getMarkedContinuousCounter() {
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return MarkedContinuousCounter;
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}
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public final void setMarkedContinuousCounter(int MarkedContinuousCounter) {
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SentimentValueCache.MarkedContinuousCounter = MarkedContinuousCounter;
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}
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public final int getInflectedCounterNegative() {
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return inflectedCounterNegative;
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}
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public final void setInflectedCounterNegative(int inflectedCounterNegative) {
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SentimentValueCache.inflectedCounterNegative = inflectedCounterNegative;
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}
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public final int getInflectedCounterPositive() {
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return inflectedCounterPositive;
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}
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public final void setInflectedCounterPositive(int inflectedCounterPositive) {
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SentimentValueCache.inflectedCounterPositive = inflectedCounterPositive;
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}
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public final int getAnotatorcounter() {
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return anotatorcounter;
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}
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public final void setAnotatorcounter(int anotatorcounter) {
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SentimentValueCache.anotatorcounter = anotatorcounter;
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}
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public final int getTokensCounter() {
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return tokensCounter;
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}
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public final void setTokensCounter(int tokensCounter) {
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SentimentValueCache.tokensCounter = tokensCounter;
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}
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public final int getMainSentiment() {
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return mainSentiment;
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}
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public final void setMainSentiment(int mainSentiment) {
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SentimentValueCache.mainSentiment = mainSentiment;
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}
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public final int getLongest() {
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return longest;
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}
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public final void setLongest(int longest) {
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SentimentValueCache.longest = longest;
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}
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public final List getClassifyRaw() {
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return classifyRaw;
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}
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public final void setClassifyRaw(List classifyRaw) {
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SentimentValueCache.classifyRaw = classifyRaw;
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}
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public final ConcurrentMap<Integer, Integer> getRnnPrediectClassMap() {
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return rnnPredictClassMap;
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}
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public final void addRNNPredictClass(int rnnPrediction) {
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rnnPredictClassMap.put(rnnPredictClassMap.size(), rnnPrediction);
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}
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public final void addSimpleMatrix(SimpleMatrix SMX) {
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simpleSMXlist.put(simpleSMXlist.size(), SMX);
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}
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public final void addSimpleMatrixVector(SimpleMatrix SMX) {
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simpleSMXlistVector.put(simpleSMXlistVector.size(), SMX);
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}
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public final ConcurrentMap<Integer, GrammaticalStructure> getGsMap() {
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return gsMap;
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}
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public final ConcurrentMap<Integer, SimpleMatrix> getSimpleSMXlist() {
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return simpleSMXlist;
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}
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public final ConcurrentMap<Integer, SimpleMatrix> getSimpleSMXlistVector() {
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return simpleSMXlistVector;
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}
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public final ConcurrentMap<Integer, GrammaticalStructure> getGs() {
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return gsMap;
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}
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public final int getCounter() {
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return counter;
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}
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public final void addGS(GrammaticalStructure gs) {
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gsMap.put(gsMap.size(), gs);
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}
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public final Collection<TypedDependency> getAllTypedDependencies() {
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return allTypedDependencies;
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}
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public final void addTypedDependencies(Collection<TypedDependency> TDPlist) {
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for (TypedDependency TDP : TDPlist) {
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allTypedDependencies.add(TDP);
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}
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}
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public final ConcurrentMap<Integer, Tree> getSentenceConstituencyParseList() {
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return sentenceConstituencyParseList;
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}
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public final void addSentenceConstituencyParse(Tree tree) {
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sentenceConstituencyParseList.put(sentenceConstituencyParseList.size(), tree);
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}
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public final void setCounter(int counter) {
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SentimentValueCache.counter = counter;
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}
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public final String getSentence() {
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return sentence;
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}
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public SentimentValueCache(String str, int counter) {
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this.sentence = str;
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this.counter = counter;
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}
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public final ConcurrentMap<Integer, String> getTgwlistIndex() {
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return tgwlistIndex;
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}
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public final void addTgwlistIndex(String str) {
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tgwlistIndex.put(tgwlistIndex.size(), str);
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}
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public SentimentValueCache(String str) {
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this.sentence = str;
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}
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}
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