java - Getting incorrect Score using SentiWordNet -

i'm doing sentiment analysis using sentiwordnet , referred post here how use sentiwordnet . however, i'm getting score of 0.0 despite trying out various inputs. there i'm doing wrong here? thanks!

    import java.io.bufferedreader;     import java.io.file;     import java.io.filereader;     import java.util.hashmap;     import java.util.iterator;     import java.util.set;     import java.util.vector;      public class swn3 {         private string pathtoswn = "c:\\users\\malcolm\\desktop\\sentiwordnet_3.0.0\\home\\swn\\www\\admin\\dump\\sentiwordnet_3.0.0.txt";         private hashmap<string, double> _dict;          public swn3(){              _dict = new hashmap<string, double>();             hashmap<string, vector<double>> _temp = new hashmap<string, vector<double>>();             try{                 bufferedreader csv =  new bufferedreader(new filereader(pathtoswn));                 string line = "";                            while((line = csv.readline()) != null)                 {                     string[] data = line.split("\t");                     double score = double.parsedouble(data[2])-double.parsedouble(data[3]);                     string[] words = data[4].split(" ");                     for(string w:words)                     {                         string[] w_n = w.split("#");                         w_n[0] += "#"+data[0];                         int index = integer.parseint(w_n[1])-1;                         if(_temp.containskey(w_n[0]))                         {                             vector<double> v = _temp.get(w_n[0]);                             if(index>v.size())                                 for(int = v.size();i<index; i++)                                     v.add(0.0);                             v.add(index, score);                             _temp.put(w_n[0], v);                         }                         else                         {                             vector<double> v = new vector<double>();                             for(int = 0;i<index; i++)                                 v.add(0.0);                             v.add(index, score);                             _temp.put(w_n[0], v);                         }                     }                 }                 set<string> temp = _temp.keyset();                 (iterator<string> iterator = temp.iterator(); iterator.hasnext();) {                     string word = (string) iterator.next();                     vector<double> v = _temp.get(word);                     double score = 0.0;                     double sum = 0.0;                     for(int = 0; < v.size(); i++)                         score += ((double)1/(double)(i+1))*v.get(i);                     for(int = 1; i<=v.size(); i++)                         sum += (double)1/(double)i;                     score /= sum;                     string sent = "";                                    if(score>=0.75)                         sent = "strong_positive";                     else                     if(score > 0.25 && score<=0.5)                         sent = "positive";                     else                     if(score > 0 && score>=0.25)                         sent = "weak_positive";                     else                     if(score < 0 && score>=-0.25)                         sent = "weak_negative";                     else                     if(score < -0.25 && score>=-0.5)                         sent = "negative";                     else                     if(score<=-0.75)                         sent = "strong_negative";                     _dict.put(word, score);                 }             }             catch(exception e){e.printstacktrace();}                 }  public double extract(string word) {     double total = new double(0);     if(_dict.get(word+"#n") != null)          total = _dict.get(word+"#n") + total;     if(_dict.get(word+"#a") != null)         total = _dict.get(word+"#a") + total;     if(_dict.get(word+"#r") != null)         total = _dict.get(word+"#r") + total;     if(_dict.get(word+"#v") != null)         total = _dict.get(word+"#v") + total;     return total; }  public static void main(string[] args) {     swn3 test = new swn3();     string sentence="hello have super awesome great day";     string[] words = sentence.split("\\s+");      double totalscore = 0;     for(string word : words) {         word = word.replaceall("([^a-za-z\\s])", "");         if (test.extract(word) == null)             continue;         totalscore += test.extract(word);     }     system.out.println(totalscore); }  } 

here's first 10 lines of sentiwordnet.txt

a   00001740    0.125   0   able#1  (usually followed `to') having necessary means or skill or know-how or authority something; "able swim"; "she able program computer"; "we @ last able buy car"; "able grant project"   00002098    0   0.75    unable#1    (usually followed `to') not having necessary means or skill or know-how; "unable town without car"; "unable obtain funds"   00002312    0   0   dorsal#2 abaxial#1  facing away axis of organ or organism; "the abaxial surface of leaf underside or side facing away stem"   00002527    0   0   ventral#2 adaxial#1 nearest or facing toward axis of organ or organism; "the upper side of leaf known adaxial surface"   00002730    0   0   acroscopic#1    facing or on side toward apex   00002843    0   0   basiscopic#1    facing or on side toward base   00002956    0   0   abducting#1 abducent#1  of muscles; drawing away midline of body or adjacent part   00003131    0   0   adductive#1 adducting#1 adducent#1  of muscles; bringing or drawing toward midline of body or toward adjacent part   00003356    0   0   nascent#1   being born or beginning; "the nascent chicks"; "a nascent insurgency"   00003553    0   0   emerging#2 emergent#2   coming existence; "an emergent republic" 

usually sentiword.txt file comes weird format.

you need remove first part of (which includes comments , instructions) , last 2 lines:

# empty line 

the parser doesn't know how handle these situations, if delete these 2 lines you'll fine.