assertEquals(1, item.getKinds().length);
        assertEquals(SuggestItem.Kind.QUERY, item.getKinds()[0]);
        assertEquals(50L, item.getQueryFreq());
        assertEquals(100L, item.getDocFreq());
        assertEquals(1.5f, item.getUserBoost(), 0.001f);
        assertNotNull(item.getTimestamp());
        assertNotNull(item.getId());
    }

    @Test
    public void testConstructorWithNullArrays() {

        secondLine.put("fields", item.getFields());
        secondLine.put("queryFreq", item.getQueryFreq());
        secondLine.put("docFreq", item.getDocFreq());
        secondLine.put("userBoost", item.getUserBoost());
        secondLine.put("score", (item.getQueryFreq() + item.getDocFreq()) * item.getUserBoost());
        secondLine.put("tags", item.getTags());
        secondLine.put("roles", item.getRoles());

    .execute()
    .getResponse();

popularWords.getItems().forEach(item -> {
    System.out.println("Popular: " + item.getText() + 
                      " (freq: " + item.getDocFreq() + ")");
});
```

### Custom Text Processing

```java
import org.codelibs.fess.suggest.settings.SuggestSettings;
import org.codelibs.fess.suggest.converter.ReadingConverterChain;

        assertEquals(boost, suggestItem.getUserBoost(), 0.001f);
        // The queryFreq and docFreq might be handled differently by SuggestItem
        assertTrue(suggestItem.getQueryFreq() >= 0);
        assertTrue(suggestItem.getDocFreq() >= 0);

        // Check readings
        String[][] itemReadings = suggestItem.getReadings();
        assertNotNull(itemReadings);
        assertEquals(2, itemReadings.length);

    public long getQueryFreq() {
        return queryFreq;
    }

    /**
     * Returns the document frequency of the suggest item.
     * @return The document frequency.
     */
    public long getDocFreq() {
        return docFreq;
    }

    /**
     * Returns the user boost of the suggest item.
     * @return The user boost.
     */
    public float getUserBoost() {
        return userBoost;