Added classifier code and test data

.gitignore

@@ -1,9 +1,3 @@
 target/
-pom.xml.tag
-pom.xml.releaseBackup
-pom.xml.versionsBackup
-pom.xml.next
-release.properties
-dependency-reduced-pom.xml
-buildNumber.properties
-.mvn/timing.properties
+.idea/
+

pom.xml

@@ -0,0 +1,29 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+
+    <groupId>com.chaoticity.citationsentiment</groupId>
+    <artifactId>citationsentimentclassifier</artifactId>
+    <version>1.0-SNAPSHOT</version>
+
+    <repositories>
+        <repository>
+            <id>maven</id>
+            <url>https://repo1.maven.org/maven2</url>
+        </repository>
+    </repositories>
+    <dependencies>
+        <dependency>
+            <groupId>nz.ac.waikato.cms.weka</groupId>
+            <artifactId>weka-stable</artifactId>
+            <version>3.6.6</version>
+        </dependency>
+        <dependency>
+            <groupId>nz.ac.waikato.cms.weka</groupId>
+            <artifactId>LibSVM</artifactId>
+            <version>1.0.3</version>
+        </dependency>
+    </dependencies>
+</project>

src/main/java/com/chaoticity/citationsentiment/CitationSentimentClassifier.java

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+/*
+ * To change this template, choose Tools | Templates
+ * and open the template in the editor.
+ */
+package com.chaoticity.citationsentiment;
+
+import weka.classifiers.Evaluation;
+import weka.classifiers.functions.LibSVM;
+import weka.core.Instances;
+import weka.core.converters.ConverterUtils;
+import weka.core.tokenizers.NGramTokenizer;
+import weka.core.tokenizers.WordTokenizer;
+import weka.filters.Filter;
+import weka.filters.unsupervised.attribute.StringToWordVector;
+
+import java.util.Random;
+
+/**
+ * Code and data for citation sentiment classification reported in http://www.aclweb.org/anthology/P11-3015
+ * The file test.arff contains only the test set with dependency triplets generated with Stanford CoreNLP
+ * Full corpus available at http://www.cl.cam.ac.uk/~aa496/citation-sentiment-corpus
+ *
+ * @author Awais Athar
+ */
+public class CitationSentimentClassifier {
+
+
+    /**
+     * @param args the command line arguments
+     */
+    public static void main(String[] args) throws Exception {
+        ConverterUtils.DataSource source = new ConverterUtils.DataSource("test.arff");
+        Instances data = source.getDataSet();
+
+        // Set class attribute
+        data.setClassIndex(data.attribute("@@class@@").index());
+
+        // delete unused attributes
+        data.deleteAttributeAt(1);
+        data.deleteAttributeAt(2);
+
+        // split dependencies on space
+        StringToWordVector unigramFilter = new StringToWordVector();
+        unigramFilter.setInputFormat(data);
+        unigramFilter.setIDFTransform(true);
+        unigramFilter.setAttributeIndices("3");
+        WordTokenizer whitespaceTokenizer = new WordTokenizer();
+        whitespaceTokenizer.setDelimiters(" ");
+        unigramFilter.setTokenizer(whitespaceTokenizer);
+        data = Filter.useFilter(data,unigramFilter);
+
+        // make trigrams from citation sentences
+        StringToWordVector trigramFilter = new StringToWordVector();
+        trigramFilter.setInputFormat(data);
+        trigramFilter.setIDFTransform(true);
+        trigramFilter.setAttributeIndices("2");
+        NGramTokenizer tokenizer = new NGramTokenizer();
+        tokenizer.setNGramMinSize(1);
+        tokenizer.setNGramMaxSize(3);
+        trigramFilter.setTokenizer(tokenizer);
+        data = Filter.useFilter(data,trigramFilter);
+
+        // Train and test 10x cross-validation
+        int folds = 10;
+        LibSVM svm = new LibSVM();
+        svm.setCost(1000);
+        Evaluation eval = new Evaluation(data);
+        eval.crossValidateModel(svm, data, folds, new Random(1));
+        System.out.println(eval.toMatrixString());
+        System.out.println(eval.toSummaryString());
+        System.out.println(eval.toClassDetailsString());
+    }
+
+
+}