lucene学习之分析过程（自定义近义词分析器）_lucene自定义分析器-优快云博客

本文探讨了文本分析器选择的影响因素，包括语种和文本所属的领域，并介绍了同义词引擎如何通过创建分析器链来实现文本的同义词替换。详细解释了同义词引擎的工作原理及其实现过程，包括使用Java实现的同义词分析器和测试案例。

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影响分析器选择的一个原因是语种另一个原因是被分析的文本所属的域

import java.io.*;
public interface SynonymEngine {
	String[] getSynonyms(String s)	throws IOException;
}

import java.util.*;


public class TestSynonymEngine implements SynonymEngine{
	private static HashMap<String,String[]> map =
			new HashMap<String,String[]>();
	static{
		map.put("quick", new String[] {"fast","speeedy"});
		map.put("jumps", new String[]{"leaps","hops"});
		map.put("over", new String[] {"above"});
		map.put("lazy", new String[] {"apathetic","sluggish"});
		map.put("dog", new String[] {"canine","pooch"});
	}
	public String[] getSynonyms(String s){
		return map.get(s);
	}
}

import java.io.*;

import org.apache.lucene.analysis.*;
import org.apache.lucene.analysis.core.*;
import org.apache.lucene.analysis.standard.*;


public class SynonymAnalyzer extends Analyzer{
	private SynonymEngine engine;
	public SynonymAnalyzer(SynonymEngine engine){
		this.engine = engine;
	}
	
	protected TokenStreamComponents createComponents(String text) {  
		Tokenizer tokenizer = new StandardTokenizer();  
		TokenStream tokenStream = new SynonymFilter(tokenizer, engine);  
		tokenStream = new LowerCaseFilter(tokenStream);  
		tokenStream = new StopFilter(tokenStream,StopAnalyzer.ENGLISH_STOP_WORDS_SET);  
		return new TokenStreamComponents(tokenizer, tokenStream);  
		}  

}

实现createComponents方法，创建分析器链

Tokenizer通过Reader读取字符并创建语汇单元，而TokenFilter则负责处理输入的语汇单元

import org.apache.lucene.analysis.*;


public class SynonymAnalyzerTest {
	public static void main(String[] args) throws Exception
	{
		String text = "The quick brown fox jumps over the lazy dog";  
		Analyzer analyzer = new SynonymAnalyzer(new TestSynonymEngine());
		AnalyzerDome.displayTokens(analyzer, text);
	}
}