final String[] words = SuggestUtil.parseQuery(queryString, field);
                if (words.length == 0) {
                    continue;
                }

                final String[][] readings = new String[words.length][];
                for (int j = 0; j < words.length; j++) {
                    words[j] = normalizer.normalize(words[j], field, "");

    }

    /**
     * Returns the total number of words in the suggestion index.
     * @return The total number of words.
     */
    public long getAllWordsNum() {
        return getNum(QueryBuilders.matchAllQuery());
    }

    /**
     * Returns the number of document words in the suggestion index.
     * @return The number of document words.
     */
    public long getDocumentWordsNum() {

     * @param fieldName The field name.
     * @param words The words to filter by.
     * @return The QueryBuilder instance.
     */
    protected QueryBuilder buildFilterQuery(final String fieldName, final List<String> words) {
        final BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery().minimumShouldMatch(1);
        words.stream().forEach(word -> boolQueryBuilder.should(QueryBuilders.termQuery(fieldName, word)));

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();

 * <li>{@link #addBadWord(String, boolean)} - Add a bad word and optionally apply it.
 * <li>{@link #deleteBadWord(String)} - Delete a bad word.
 * <li>{@link #addElevateWord(ElevateWord, boolean)} - Add an elevate word and optionally apply it.
 * <li>{@link #deleteElevateWord(String, boolean)} - Delete an elevate word and optionally apply it.

            String[] words = text.trim().split("[\\s@#$.,!?;:()\\[\\]{}\"']+");

            int position = 0;
            int offset = 0;
            for (String word : words) {
                if (!word.isEmpty()) {
                    int startOffset = text.indexOf(word, offset);
                    int endOffset = startOffset + word.length();

                    // Handle decimal numbers

        mergedItem.emptySource = item2.emptySource;

        return mergedItem;
    }

    /**
     * Checks if the suggest item contains any of the given bad words.
     * @param badWords The array of bad words.
     * @return True if the item contains a bad word, false otherwise.
     */
    public boolean isBadWord(final String[] badWords) {
        for (final String badWord : badWords) {
            if (text.contains(badWord)) {

        SuggestItem item = new SuggestItem(text, readings, null, 0L, 0L, 1.0f, null, null, null, SuggestItem.Kind.QUERY);

        // Test with no bad words
        String[] badWords = { "spam", "illegal" };
        assertFalse(item.isBadWord(badWords));

        // Test with matching bad word
        String[] badWords2 = { "test", "bad" };
        assertTrue(item.isBadWord(badWords2));

        // Test with partial match

        }

        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;

        String word = "test word";
        float boost = 1.5f;
        List<String> readings = Arrays.asList("reading1");
        List<String> fields = Arrays.asList("field1");
        List<String> tags = Arrays.asList("tag1");
        List<String> roles = null;

        elevateWord = new ElevateWord(word, boost, readings, fields, tags, roles);

        assertEquals(word, elevateWord.getElevateWord());