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/*
* Copyright (C) 2018 Southern Illinois University Carbondale, SoftSearch Lab
*
* Author: Amiangshu Bosu
*
* Licensed under GNU LESSER GENERAL PUBLIC LICENSE Version 3, 29 June 2007
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.gnu.org/licenses/lgpl.html
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package edu.siu.sentise;
import java.io.BufferedWriter;
import java.io.IOException;
import java.util.ArrayList;
import edu.siu.sentise.model.SentimentData;
import edu.siu.sentise.util.Util;
import weka.core.Attribute;
import weka.core.DenseInstance;
import weka.core.Instances;
public class ARFFGenerator {
public static void writeInFile(Instances instances, String fileName) {
try {
BufferedWriter bufferedWriter = Util.getBufferedWriterByFileName(fileName);
bufferedWriter.write(instances.toString());
Util.closeBufferedWriter(bufferedWriter);
} catch (IOException e) {
e.printStackTrace();
}
}
public static Instances generateTestData(ArrayList<SentimentData> sentiList) {
ArrayList<Attribute> attributes = new ArrayList<Attribute>();
Instances data;
ArrayList<String> classVectors = new ArrayList<String>();
classVectors.add("0");
classVectors.add("-1");
classVectors.add("1");
attributes.add(new Attribute("lab", classVectors));
attributes.add(new Attribute("text", (ArrayList) null));
data = new Instances("SentiSe", attributes, 0);
int length = sentiList.size();
//System.out.println("sentilist size: " + length);
for (int i = 0; i < length; i++) {
double[] vals = new double[data.numAttributes()];
vals[0] = classVectors.indexOf("" + sentiList.get(i).getRating());
vals[1] = data.attribute(1).addStringValue(sentiList.get(i).getText());
DenseInstance denseInstance = new DenseInstance(1.0, vals);
data.add(denseInstance);
}
return data;
}
public static Instances generateTestDataFromString(ArrayList<String> sentiList) {
ArrayList<Attribute> attributes = new ArrayList<Attribute>();
Instances data;
attributes.add(new Attribute("text", (ArrayList) null));
data = new Instances("SentiSe", attributes, 0);
int length = sentiList.size();
for (int i = 0; i < length; i++) {
double[] vals = new double[data.numAttributes()];
vals[0] = data.attribute(0).addStringValue(sentiList.get(i));
DenseInstance denseInstance = new DenseInstance(1.0, vals);
data.add(denseInstance);
}
// System.out.println(data);
return data;
}
}
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