Tokenize, éliminez les mots d'arrêt à l'aide de Lucene avec Java

Lucene a changé et à cause de cette réponse suggérée (postée en 2014) ne compilera pas. Il s'agit d'une version légèrement altérée du code @ user1050755 liée qui fonctionne avec Lucene 8.6.3 et Java 8:

final String text = "This is a short test!"
final List<String> stopWords = Arrays.asList("short","test"); //Filters both words
final CharArraySet stopSet = new CharArraySet(stopWords, true);

try {
    ArrayList<String> remaining = new ArrayList<String>();

    Analyzer analyzer = new StandardAnalyzer(stopSet); // Filters stop words in the given "stopSet"
    //Analyzer analyzer = new StandardAnalyzer(); // Only filters punctuation marks out of the box, you have to provide your own stop words!
    //Analyzer analyzer = new EnglishAnalyzer(); // Filters the default English stop words (see link below)
    //Analyzer analyzer = new EnglishAnalyzer(stopSet); // Only uses the given "stopSet" but also runs a stemmer, so the result might not look like what you expected.
    
    TokenStream tokenStream = analyzer.tokenStream(CONTENTS, new StringReader(text));
    CharTermAttribute term = tokenStream.addAttribute(CharTermAttribute.class);
    tokenStream.reset();

    while(tokenStream.incrementToken()) {
        System.out.print("[" + term.toString() + "] ");
        remaining.add(term.toString());
    }

    tokenStream.close();
    analyzer.close();
} catch (IOException e) {
    e.printStackTrace();
}