public void createConfiguration(ArrayList<Interview> interviews, String file_path) {
// update TFIDF with each interview instance
for (Interview interview : interviews)
for (InterviewInstance instance : interview.getInstances()) tfidf.update(instance);
tfidf.saveConfiguration(file_path);
}
public void countTfVariable(TFIDF input) {
int totalOccurences = 0; // tf
String terms = input.getTerms();
for (String word : words) {
if (word.equals(terms)) {
totalOccurences++;
}
}
input.setTotalOccurences(totalOccurences);
input.setTotalTermsInDocument(totalTermsInDocument);
}
public void countIDfVariable(TFIDF input) {
String terms = input.getTerms();
int numberDocumentWithTerms = 0;
for (String document : documents) {
if (document.contains(terms)) {
numberDocumentWithTerms++;
}
}
input.setTotalDocument(totalDocument);
input.setNumberDocumentWithTerms(numberDocumentWithTerms);
}
// searches for topicFile (via indexFile() & indexConcatLines())
public void searchTopicFile(String pathTopicFile) throws IOException {
String topicName = pathTopicFile.substring(pathTopicFile.lastIndexOf('/') + 1);
File topic = new File(pathTopicFile);
indexFile(topic, false);
// use logarithmic occurrences
for (Map.Entry<String, Double> entry : topicWords.entrySet()) {
String key = entry.getKey();
Double value = entry.getValue();
entry.setValue(Math.log(1d + value));
}
tfidf.createIFIDFForTopic(topicWords, topicName);
}
public void loadConfiguration(String file_path) throws java.io.IOException {
tfidf.loadConfiguration(file_path);
}
public List<String> summarize(String page) throws Exception {
long x = System.currentTimeMillis();
// ekstrak teks dari web page
String text = extractor.extract(page);
System.out.println("Retrieve Text :" + (System.currentTimeMillis() - x) + " milisecond");
long y = System.currentTimeMillis();
// clean text
text = cleaner.clean(text);
System.out.println("Clean Text :" + (System.currentTimeMillis() - y) + " milisecond");
// buat daftar nama terms
long z = System.currentTimeMillis();
List<String> term = keyword.get(text);
System.out.println(
"Generate Terms :"
+ (System.currentTimeMillis() - z)
+ " milisecond ("
+ term.size()
+ " term)");
// inisialisasi TFIDF
long q = System.currentTimeMillis();
List<TFIDF> idfList = new ArrayList<TFIDF>();
int i = 0;
// Isi kan tiap tiap Term dan hitung TFIDFnya
counter.setText(text);
for (String word : term) {
TFIDF tfidf = new TFIDF();
tfidf.setTerms(word);
counter.countIDfVariable(tfidf);
counter.countTfVariable(tfidf);
idfList.add(tfidf);
}
System.out.println("Count IDF :" + (System.currentTimeMillis() - q) + " milisecond");
long v = System.currentTimeMillis();
// urutkan berdasarkan size TFIDF
Collections.sort(
idfList,
new Comparator<TFIDF>() {
@Override
public int compare(TFIDF o1, TFIDF o2) {
return o2.getValue().compareTo(o1.getValue());
}
});
// delete NaN Value
for (Iterator<TFIDF> itr = idfList.iterator(); itr.hasNext(); ) {
TFIDF element = itr.next();
if (element.getValue().isNaN()) {
itr.remove();
}
}
// ekstrak 30 teratas
List<String> result = new ArrayList<String>();
for (TFIDF tfidf : getTopTerm(idfList)) {
result.add(tfidf.getTerms());
}
// return
System.out.println("Sorting dan seleksi :" + (System.currentTimeMillis() - v) + " milisecond");
System.out.println(
"\n Waktu proses total :" + (System.currentTimeMillis() - x) + " milisecond");
return result;
}
