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package edu.siu.sentise.preprocessing;
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import java.io.BufferedReader;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.HashSet;
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import edu.siu.sentise.model.SentimentData;
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import edu.siu.sentise.util.Util;
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public class EmoticonProcessor implements TextPreprocessor {
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private HashMap<String, String> emoticonMap = null;
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private void loadEmoticons(String fileName) {
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emoticonMap = new HashMap<String, String>();
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try {
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BufferedReader bufferedReader = Util.getBufferedreaderByFileName(fileName);
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String line = "";
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while ((line = bufferedReader.readLine()) != null) {
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int index = line.indexOf(' ');
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String key = line.substring(0, index).trim();
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String value = line.substring(index + 1, line.length()).trim();
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emoticonMap.put(key, " " + value + " ");
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}
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bufferedReader.close();
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}
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catch (IOException ex) {
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ex.printStackTrace();
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}
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}
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public EmoticonProcessor(String fileName) {
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loadEmoticons(fileName);
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}
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public String preprocessEmoticons(String text) {
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return replaceEmoticon(text.toLowerCase());
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}
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public ArrayList<SentimentData> apply(ArrayList<SentimentData> sentiList) {
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for (int i = 0; i < sentiList.size(); i++)
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sentiList.get(i).setText(preprocessEmoticons(sentiList.get(i).getText()));
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return sentiList;
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}
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private String replaceEmoticon(String text) {
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HashSet<String> keySet = new HashSet<String>(emoticonMap.keySet());
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for (String key : keySet) {
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while (text.contains(key)) {
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text = text.replace(key, " " + emoticonMap.get(key) + " ");
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}
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}
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return text;
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}
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}
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