assertNotNull(builder);
        assertTrue(builder instanceof DefaultQueryBuilder);

        // Should not include important_content field when boost is negative
        String queryString = builder.toString();
        assertFalse(queryString.contains("important_content"));
    }

    @Test
    public void test_register() {
        // Save the original processor

                return fields;
            }

            @Override
            public String getIndexFieldImportantContent() {
                return "important_content";
            }

            @Override
            public BigDecimal getQueryBoostImportantContentAsDecimal() {
                return new BigDecimal("-1.0");
            }

            @Override

4. Applies language-specific analyzers for better search results

Configured in `fess_config.properties`:
```properties
indexer.language.fields=content,important_content,title
```

## Optional: Search Analysis Support

If your language requires special text analysis (stemming, stop words, etc.), you may need to configure OpenSearch analyzers.

      },
      "boost": {
        "type": "float"
      },
      "click_count": {
        "type": "long"
      },
      "config_id": {
        "type": "keyword"
      },
      "important_content": {
        "type": "text",
        "analyzer": "standard_analyzer",
        "search_analyzer": "standard_search_analyzer",
        "term_vector": "with_positions_offsets"
      },
      "content": {

      },
      "boost": {
        "type": "float"
      },
      "click_count": {
        "type": "long"
      },
      "config_id": {
        "type": "keyword"
      },
      "important_content": {
        "type": "text",
        "analyzer": "standard_analyzer",
        "search_analyzer": "standard_search_analyzer",
        "term_vector": "with_positions_offsets"
      },
      "content": {

      },
      "boost": {
        "type": "float"
      },
      "click_count": {
        "type": "long"
      },
      "config_id": {
        "type": "keyword"
      },
      "important_content": {
        "type": "text",
        "analyzer": "standard_analyzer",
        "search_analyzer": "standard_search_analyzer",
        "term_vector": "with_positions_offsets"
      },
      "content": {