added few methods for processing

src/main/java/domain/TextProcessing.java

@@ -8,11 +8,36 @@ import org.apache.poi.xslf.usermodel.XMLSlideShow;
 import org.apache.poi.xslf.usermodel.XSLFSlide;
 import org.apache.poi.xslf.usermodel.XSLFShape;
 import org.apache.poi.xslf.usermodel.XSLFTextShape;
+import org.apache.lucene.analysis.standard.StandardAnalyzer;
+import org.apache.lucene.analysis.Analyzer;
+import org.apache.lucene.analysis.TokenStream;
+import org.apache.lucene.analysis.de.GermanStemmer;
+import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
+import org.apache.lucene.analysis.CharArraySet;
 
+import java.io.IOException;
+import java.util.*;
 import java.io.*;
-import java.util.HashMap;
 
 public class TextProcessing {
+    private boolean stemming;
+    private int maxWords;
+
+    public boolean isStemming() {
+        return stemming;
+    }
+
+    public int getMaxWords() {
+        return maxWords;
+    }
+
+    public void setStemming(boolean stemming) {
+        this.stemming = stemming;
+    }
+
+    public void setMaxWords(int maxWords) {
+        this.maxWords = maxWords;
+    }
 
     public String formatToText(File file, String format) {
         try {
@@ -57,9 +82,9 @@ public class TextProcessing {
         return "Nothing found!";
     }
 
-    public HashMap maxShowWords(int number, HashMap<String, Integer> words) {
+    public Map<String, Integer> maxShowWords(Map<String, Integer> words) {
         HashMap <String, Integer> cuttedHashmap = new HashMap<>();
-        int index = number;
+        int index = maxWords;
         for (String word : words.keySet()) {
             if(index > 0) {
                 cuttedHashmap.put(word, words.get(word));
@@ -69,25 +94,74 @@ public class TextProcessing {
         return cuttedHashmap;
     }
 
-    public HashMap tokenizingText(String text){
+    //KI Methode die abgeändert wurde, damit sie in dieses Programm passt
-        HashMap<String, Integer> filteredWords = new HashMap<>();
+    public Map<String, Integer> tokenizingFile(String text, Set<String> stopwords) {
-        try {
+        Map<String, Integer> words = new HashMap<>();
-            if(!text.isEmpty()) {
+
-                //Tokenizing der Wörter
+        if (text == null || text.isBlank()) {
-                String splitter = "[,\\s\\.:/!§$%&/()=?+*~#.;_<\\-–>^°\"']";
+            return words;
-                String[] textWords = text.split(splitter);
+        }
-                for (String word : textWords) {
+        CharArraySet luceneStopwords =
-                    if (filteredWords.containsKey(word)) {
+                stopwords != null ? new CharArraySet(stopwords, true) : CharArraySet.EMPTY_SET;
-                        filteredWords.compute(word, (k, counter) -> counter + 1);
+
-                    } else {
+        try (Analyzer analyzer = new StandardAnalyzer(luceneStopwords)) {
-                        filteredWords.put(word, 1);
+            TokenStream tokenStream = analyzer.tokenStream(null, text);
+            CharTermAttribute charTermAttribute = tokenStream.addAttribute(CharTermAttribute.class);
+
+            tokenStream.reset();
+            while (tokenStream.incrementToken()) {
+                String word = charTermAttribute.toString();
+                if (words.containsKey(word)) {
+                    words.compute(word, (k, counter) -> counter + 1);
+                    }
+                else {
+                        words.put(word, 1);
                     }
-                }
             }
+            tokenStream.end();
         }
-        catch (Exception ex) {
+        catch (IOException e) {
-            throw new RuntimeException(ex);
+            throw new RuntimeException(e);
         }
-        return filteredWords;
+        return words;
     }
+
+    public Set<String> textToSetStopwords(Map<String, Integer> words) {
+        Set<String> stopwordList = new HashSet<>();
+        for (Map.Entry<String, Integer> entry : words.entrySet()) {
+            stopwordList.add(entry.getKey());
+        }
+        return stopwordList;
+    }
+
+    public String fileToTextString(File path, String format) {
+        String text = formatToText(path, format);
+        return text;
+    }
+
+    public Map<String, Integer> sortList(Map<String, Integer> unsortedMap) {
+        List<Map.Entry<String, Integer>> entryList = new ArrayList<>(unsortedMap.entrySet());
+
+        entryList.sort((e1, e2) -> e2.getValue().compareTo(e1.getValue())); //Ki erstellte Zeile
+
+        Map<String, Integer> sortedMap = new LinkedHashMap<>();
+        for (Map.Entry<String, Integer> entry : entryList) {
+            sortedMap.put(entry.getKey(), entry.getValue());
+        }
+
+        return sortedMap;
+    }
+
+//    public Map<String, Integer> stemming(Map<String, Integer> wordList) {
+//        Map<String, Integer> wordCounts = new HashMap<>();
+//        GermanStemmer stemmer = new GermanStemmer();
+//
+//        for (String key: wordList.keySet()) {
+//            String stemmedWord = stemmer.stemWord(key);
+//            if (stemmedWord != null) {
+//                wordCounts.merge(stemmedWord, 1, Integer::sum);
+//            }
+//        }
+//        return wordCounts;
+//    }
 }