This is my arff file
@relation hamspam
@attribute text string
@attribute class {ham,spam}
@data
'good',ham
'very good',ham
'bad',spam
'very bad',spam
'very bad, very bad',spam
What i want to do is to classify it with weka clasiffier in my java program, but i don't know how to use StringToWordVector and then classify it.
this my code:
Classifier j48tree = new J48();
Instances train = new Instances(new BufferedReader(new FileReader("data.arff")));
StringToWordVector filter = new StringToWordVector();
What next?, i don't know what to do..
import weka.core.Instance;
//import required classes
import weka.core.Instances;
import weka.core.converters.ConverterUtils.DataSource;
import weka.core.stemmers.LovinsStemmer;
import weka.classifiers.meta.FilteredClassifier;
import weka.classifiers.trees.J48;
import weka.filters.unsupervised.attribute.Remove;
import weka.filters.unsupervised.attribute.StringToWordVector;
public class ClassifierWithFilter{
public static void main(String args[]) throws Exception{
//load dataset
DataSource source = new DataSource("/Users/amaryadav/Desktop/spamham.arff");
Instances dataset = source.getDataSet();
//set class index to the last attribute
dataset.setClassIndex(dataset.numAttributes()-1);
//the base classifier
J48 tree = new J48();
//the filter
StringToWordVector filter = new StringToWordVector();
filter.setInputFormat(dataset);
filter.setIDFTransform(true);
filter.setUseStoplist(true);
LovinsStemmer stemmer = new LovinsStemmer();
filter.setStemmer(stemmer);
filter.setLowerCaseTokens(true);
//Create the FilteredClassifier object
FilteredClassifier fc = new FilteredClassifier();
//specify filter
fc.setFilter(filter);
//specify base classifier
fc.setClassifier(tree);
//Build the meta-classifier
fc.buildClassifier(dataset);
System.out.println(tree.graph());
System.out.println(tree);
}
}
This code uses J48 decision tree to build a classifier trained with spamham.arff. Hope that helps.