// Test with BooleanQuery
        BooleanQuery.Builder builder = new BooleanQuery.Builder();
        Term term1 = new Term("content", "test");
        Term term2 = new Term("title", "query");
        builder.add(new TermQuery(term1), BooleanClause.Occur.SHOULD);
        builder.add(new TermQuery(term2), BooleanClause.Occur.SHOULD);
        BooleanQuery booleanQuery = builder.build();

 *   <li>Optionally removing duplicate terms based on a flag.</li>
 *   <li>Limiting the maximum size of alphanumeric and symbol terms.</li>
 * </ul>
 *
 * <p>The {@link TextNormalizeContext} class provides a fluent API to configure the text
 * normalization process, including setting initial buffer capacity, maximum term sizes,
 * duplicate term removal, and custom space characters.
 *
 * <p>Example usage:

    protected String defaultField = Constants.DEFAULT_FIELD;

    /** The analyzer used to analyze query terms */
    protected Analyzer analyzer = new WhitespaceAnalyzer();

    /** Whether to allow leading wildcards in query terms */
    protected boolean allowLeadingWildcard = true;

    /** The default operator to use between query terms */
    protected Operator defaultOperator = Operator.AND;

    /** List of filters to apply to queries */

     * Gets the maximum size for alphanumeric terms from configuration.
     *
     * @return the maximum alphanumeric term size
     */
    protected int getMaxAlphanumTermSize() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        return fessConfig.getCrawlerDocumentMaxAlphanumTermSizeAsInteger();
    }

    /**
     * Gets the maximum size for symbol terms from configuration.
     *

    }

    /**
     * Converts a string to lowercase.
     *
     * @param term The string to convert.
     * @return The lowercase string.
     */
    private String toLowerCase(final String term) {
        return term != null ? term.toLowerCase(Locale.ROOT) : term;
    }

import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.AvgAggregationBuilder;
import org.opensearch.search.aggregations.metrics.CardinalityAggregationBuilder;

     * Sets the maximum size of an alpha-numeric term.
     * @param maxAlphanumTermSize The max size of an alpha-numeric term.
     */
    public void setMaxAlphanumTermSize(final int maxAlphanumTermSize) {
        this.maxAlphanumTermSize = maxAlphanumTermSize;
    }

    /**
     * Sets the maximum size of a symbol term.
     * @param maxSymbolTermSize The max size of a symbol term.
     */

DAMAGES.

                     END OF TERMS AND CONDITIONS

           How to Apply These Terms to Your New Libraries

  If you develop a new library, and you want it to be of the greatest
possible use to the public, we recommend making it free software that
everyone can redistribute and change.  You can do so by permitting
redistribution under these terms (or, alternatively, under the terms of the
ordinary General Public License).

a":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[],\"indexRefName\":\"kibanaSavedObjectMeta.searchSourceJSON.index\"}"},"title":"search-term-rank","uiStateJSON":"{\"vis\":{\"params\":{\"sort\":{\"columnIndex\":null,\"direction\":null}}}}","version":1,"visState":"{\"title\":\"search-term-rank\",\"type\":\"table\",\"params\":{\"perPage\":10,\"showPartialRows\":false,\"showMetricsAtAllLevels\":false,\"sort\":{\"columnIndex\":null,\"direction\":null},\"showTotal...

- **Multi-language Support**: Built-in support for Japanese text processing with Kuromoji analyzer
- **Popular Words Analytics**: Track and analyze frequently searched terms
- **Flexible Text Processing**: Configurable converters and normalizers for text transformation
- **OpenSearch Integration**: Seamless integration with OpenSearch/Elasticsearch clusters