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());

                    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;

            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) == '.') {

        }

        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;

            if (skipDuplicateWords) {
                final String duplicateCheckStr = text.replace(" ", "");
                if (words.stream().map(word -> word.replace(" ", "")).anyMatch(word -> word.equals(duplicateCheckStr))) {
                    // skip duplicate word.
                    continue;
                }
            }

            words.add(text);

 * <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.

- **FTP**: FTP server crawling with authentication
- **SMB/CIFS**: Windows network shares
- **Storage**: Cloud storage systems (MinIO, S3-compatible)

### Content Formats

#### Office Documents
- Microsoft Office (Word, Excel, PowerPoint)
- OpenOffice/LibreOffice documents
- RTF, WordPerfect

#### PDFs and Images
- PDF documents (text and metadata extraction)
- Images (JPEG, PNG, GIF, TIFF, BMP)

 *
 * <p>This class provides methods to initialize settings, get and set individual settings,
 * and manage various types of settings such as array settings, analyzer settings, bad word settings,
 * and elevate word settings.</p>
 *
 * <p>It also includes a nested TimeoutSettings class to manage various timeout configurations.</p>
 *
 * <p>Usage example:</p>
 * <pre>
 * {@code
 * Client client = ...;

        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]);

A powerful Java library that provides intelligent search suggestion functionality built on top of OpenSearch/Elasticsearch. It offers auto-completion, query suggestions, and popular word analytics for search applications.

## Key Features

- **Smart Query Suggestions**: Real-time auto-completion and search suggestions