* Truncates and normalizes content to create a summary suitable for display.
     *
     * @param responseData the response data from crawling (not currently used)
     * @param content the content to create a digest from
     * @param dataMap additional data map (not currently used)
     * @param maxWidth the maximum width of the digest
     * @return the abbreviated and normalized digest, or empty string if content is null

    }

    /**
     * Creates a default normalizer using the provided client and suggest settings.
     * The normalizer chain includes an AnalyzerNormalizer.
     *
     * @param client the client to be used for creating the normalizer
     * @param settings the suggest settings to be used for creating the normalizer
     * @return a NormalizerChain with the default normalizers
     */

});
```

### Custom Text Processing

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

// Configure custom settings
SuggestSettings settings = SuggestSettings.builder()
    .analyzer(analyzers -> {
        // Configure custom analyzers

        return this;
    }

    /**
     * Sets the normalizer.
     * @param normalizer The normalizer.
     * @return This builder instance.
     */
    public SuggesterBuilder normalizer(final Normalizer normalizer) {
        this.normalizer = normalizer;
        return this;
    }

    /**
     * Sets the analyzer.
     * @param analyzer The analyzer.

     * @param normalizer the normalizer to use for normalizing values
     * @return a list of suggest items parsed from the query log
     */
    List<SuggestItem> parseQueryLog(QueryLog queryLog, String[] fields, String[] tagFieldNames, String roleFieldName,
            ReadingConverter readingConverter, Normalizer normalizer);

    /**

     * Resolves and adds the given directory as a source with the given scope and language.
     * First, this method resolves the given root against the project base directory, then normalizes the path.
     * If no source already exists for the same scope, language and normalized directory,
     * these arguments are added as a new {@link SourceRoot} element.

     * @param readingConverter The reading converter.
     * @param normalizer The normalizer.
     */
    public SuggestRequestBuilder(final Client client, final ReadingConverter readingConverter, final Normalizer normalizer) {
        super(client, new SuggestRequest());
        request.setReadingConverter(readingConverter);
        request.setNormalizer(normalizer);
    }

    /**
     * Sets the index for the request.

     * @param normalizer The Normalizer instance.
     * @param analyzer The SuggestAnalyzer instance.
     * @param threadPool The ExecutorService for thread pooling.
     */
    public Suggester(final Client client, final SuggestSettings settings, final ReadingConverter readingConverter,
            final ReadingConverter contentsReadingConverter, final Normalizer normalizer, final SuggestAnalyzer analyzer,

                return null;
            }
        };

        final Normalizer normalizer = (text, field, lang) -> null;

        final Suggester suggester = Suggester.builder()
                .settings(SuggestSettings.builder().setSettingsIndexName(settingsIndexName))
                .readingConverter(converter)
                .normalizer(normalizer)
                .build(runner.client(), id);

import org.codelibs.fess.suggest.entity.SuggestItem;
import org.codelibs.fess.suggest.index.contents.querylog.QueryLog;
import org.codelibs.fess.suggest.normalizer.Normalizer;
import org.codelibs.fess.suggest.normalizer.NormalizerChain;

import junit.framework.TestCase;

public class DefaultContentsParserTest extends TestCase {
    DefaultContentsParser defaultContentsParser = new DefaultContentsParser();