如何使用Lucene的分析器来标记一个字符串?

问题描述 投票:37回答:3

有一个简单的方法,我可以使用Lucene的Analyzer的任何子类解析/记号化一个String

就像是:

String to_be_parsed = "car window seven";
Analyzer analyzer = new StandardAnalyzer(...);
List<String> tokenized_string = analyzer.analyze(to_be_parsed);
java lucene tokenize analyzer
3个回答
39
投票

据我所知,你必须自己写循环。像这样的事情(从我的源代码树直取):

public final class LuceneUtils {

    public static List<String> parseKeywords(Analyzer analyzer, String field, String keywords) {

        List<String> result = new ArrayList<String>();
        TokenStream stream  = analyzer.tokenStream(field, new StringReader(keywords));

        try {
            while(stream.incrementToken()) {
                result.add(stream.getAttribute(TermAttribute.class).term());
            }
        }
        catch(IOException e) {
            // not thrown b/c we're using a string reader...
        }

        return result;
    }  
}

57
投票

基于以上关闭的答案,这是略作修改使用Lucene 4.0工作。

public final class LuceneUtil {

  private LuceneUtil() {}

  public static List<String> tokenizeString(Analyzer analyzer, String string) {
    List<String> result = new ArrayList<String>();
    try {
      TokenStream stream  = analyzer.tokenStream(null, new StringReader(string));
      stream.reset();
      while (stream.incrementToken()) {
        result.add(stream.getAttribute(CharTermAttribute.class).toString());
      }
    } catch (IOException e) {
      // not thrown b/c we're using a string reader...
      throw new RuntimeException(e);
    }
    return result;
  }

}

1
投票

即使是使用try-与资源更好!这样,您就不必显式调用了在更高的版本库的需要.close()

public static List<String> tokenizeString(Analyzer analyzer, String string) {
  List<String> tokens = new ArrayList<>();
  try (TokenStream tokenStream  = analyzer.tokenStream(null, new StringReader(string))) {
    tokenStream.reset();  // required
    while (tokenStream.incrementToken()) {
      tokens.add(tokenStream.getAttribute(CharTermAttribute.class).toString());
    }
  } catch (IOException e) {
    new RuntimeException(e);  // Shouldn't happen...
  }
  return tokens;
}

和标记生成器的版本:

  try (Tokenizer standardTokenizer = new HMMChineseTokenizer()) {
    standardTokenizer.setReader(new StringReader("我说汉语说得很好"));
    standardTokenizer.reset();
    while(standardTokenizer.incrementToken()) {
      standardTokenizer.getAttribute(CharTermAttribute.class).toString());
    }
  } catch (IOException e) {
      new RuntimeException(e);  // Shouldn't happen...
  }
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