Download src/edu/siu/sentise/ARFFGenerator.java from niobures/SentiSE: direct link, hf CLI and curl.
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2.91 kB
| /* | |
| * 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; | |
| } | |
| } | |