* <ul>
 *   <li>{@code ELEVATE_WORD_SETTINGD_KEY} - The key for elevate word settings.</li>
 *   <li>{@code ELEVATE_WORD_BOOST} - The key for elevate word boost value.</li>
 *   <li>{@code ELEVATE_WORD_READING} - The key for elevate word readings.</li>
 *   <li>{@code ELEVATE_WORD_FIELDS} - The key for elevate word fields.</li>
 *   <li>{@code ELEVATE_WORD_TAGS} - The key for elevate word tags.</li>

            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
                    if (word.matches("\\d+") && startOffset > 0 && text.charAt(startOffset - 1) == '.') {

     * @param detail The detail flag.
     */
    public void setDetail(final boolean detail) {
        this.detail = detail;
    }

    /**
     * Adds an exclude word.
     * @param excludeWord The word to exclude.
     */
    public void addExcludeWord(final String excludeWord) {
        excludeWords.add(excludeWord);
    }

    /**
     * Sets the query frequency threshold.

        // Test convert with long text
        converter.init();
        StringBuilder sb = new StringBuilder();
        for (int i = 0; i < 1000; i++) {
            sb.append("word").append(i).append(" ");
        }
        String text = sb.toString();
        String field = "content";

        List<String> readings = converter.convert(text, field, "en");

        assertNotNull(readings);

        // 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
        item.setText("testing something");
        String[] badWords3 = { "test" };

        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)) {
                return true;
            }

                    final AnalyzeToken token = tokens.get(i);
                    final String word = token.getTerm();
                    if (StringUtil.isBlank(word)) {
                        continue;
                    }
                    final String[] words = { word };
                    final String[][] readings = new String[words.length][];
                    final List<String> l;

        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());

        assertEquals("こめんと", extractData.getValues("w:Comments")[0]);
        assertEquals("たぐ|さぶたいとる", String.join("|", extractData.getValues("dc:subject")));
        assertEquals("Microsoft Office Word", extractData.getValues("extended-properties:Application")[0]);
        assertEquals("sugaya", extractData.getValues("meta:last-author")[0]);
        assertEquals("太郎", extractData.getValues("dc:creator")[0]);

        // Test empty query
        String[] emptyKeywords = SuggestUtil.parseQuery("", field);
        assertNotNull(emptyKeywords);
        assertEquals(0, emptyKeywords.length);

        // Test single word query
        String[] singleKeyword = SuggestUtil.parseQuery("single", field);
        assertNotNull(singleKeyword);
        assertEquals(1, singleKeyword.length);
        assertEquals("single", singleKeyword[0]);
    }