final List<String> excludes = List.of("the", "is", "a");

        final String[] words = input.toLowerCase(Locale.ROOT)
            .replaceAll("[^\\w]+", "_")
            .replaceFirst("^_+", "")
            .replaceFirst("_+$", "")
            .split("_+");
        return Arrays.stream(words).filter(word -> excludes.contains(word) == false).collect(Collectors.joining("_"));
    }

        }

        public MyToken(final String word, final int startOffset, final int endOffset, final int posInc) {
            this(word, startOffset, endOffset, posInc, Integer.MAX_VALUE); // Integer.MAX_VALUE for seq means unused
        }

        public MyToken(final String word, final int startOffset, final int endOffset, final int posInc, final int seq) {
            this.word = word;
            this.startOffset = startOffset;

        // Test with long phrase (many terms)
        PhraseQuery.Builder builder = new PhraseQuery.Builder();
        String[] words = { "this", "is", "a", "very", "long", "phrase", "query" };
        for (String word : words) {
            builder.add(new Term(Constants.DEFAULT_FIELD, word));
        }
        PhraseQuery phraseQuery = builder.build();

        QueryContext context = new QueryContext("test", false);

        String[] words = new String[] { "　　　", "エンジン" }; // First word is whitespace only
        String[] fields = new String[] { "content" };

        SuggestAnalyzer analyzer = suggester.settings().analyzer().new DefaultContentsAnalyzer();
        SuggestItem item = defaultContentsParser.parseSearchWords(words, null, fields, null, null, 1, createDefaultReadingConverter(),

          $ref: '#/components/responses/InternalServerError'

  /popular-words:
    get:
      tags:
        - popularword
      summary: List popular words
      description: Returns available labels
      operationId: listPopularWords
      parameters:
        - name: seed
          in: query
          description: Random seed to return popular words
          required: false
          schema:
            type: string

        conditions.put("q", new String[] { "search term" });
        conditions.put("epq", new String[] { "exact phrase" });
        conditions.put("oq", new String[] { "word1 word2" });
        conditions.put("nq", new String[] { "exclude" });
        conditions.put("filetype", new String[] { "pdf" });
        conditions.put("sitesearch", new String[] { "example.com" });

suggester.indexer().indexFromQueryLog(queryLog);
```

### Popular Words Analytics

```java
import org.codelibs.fess.suggest.request.popularwords.PopularWordsResponse;

PopularWordsResponse popularWords = suggester.popularWords()
    .setSize(20)                    // top 20 words
    .setQuery("tech*")              // filter pattern
    .execute()
    .getResponse();

        andx.useUnicode = useUnicode;
        if (andx instanceof AndXServerMessageBlock) {

            /*
             * A word about communicating header info to andx smbs
             *
             * This is where we recursively invoke the provided andx smb
             * object to write it's parameter words and bytes to our outgoing
             * array. Incedentally when these andx smbs are created they are not

     * indicate how many bytes(note: readParameterWordsWireFormat
     * returns bytes read and not the number of words(but the
     * wordCount member DOES store the number of words)) we
     * actually read. Incedentally this is important to the
     * AndXServerMessageBlock class that needs to potentially
     * read in another smb's parameter words and bytes based on
     * information in it's andxCommand, andxOffset, ...etc.
     */

labels.suggest_word_configuration=Wort vorschlagen
labels.suggest_word_title_details=Wort vorschlagen
labels.suggest_word_type=Worttyp
labels.suggest_word_number=Anzahl der Wörter
labels.suggest_word_type_all=Alle
labels.suggest_word_type_document=Dokument
labels.suggest_word_type_query=Abfrage
labels.elevate_word_configuration=Wort erhöhen
labels.elevate_word_title_details=Wort erhöhen
labels.elevate_word_link_list=Liste