在 Lucene 中使用 WikipediaTokenizer 的示例

发布于 2024-09-26 23:18:13 字数 440 浏览 8 评论 0原文

我想在 lucene 项目中使用 WikipediaTokenizer - http://lucene.apache.org/java/3_0_2/api/contrib-wikipedia/org/apache/lucene/wikipedia/analysis/WikipediaTokenizer.html但我从来没有使用过lucene。我只想将维基百科字符串转换为标记列表。但是,我看到这个类中只有四个方法可用,end、incrementToken、reset、reset(reader)。有人可以给我举一个使用它的例子吗?

谢谢。

I want to use WikipediaTokenizer in lucene project - http://lucene.apache.org/java/3_0_2/api/contrib-wikipedia/org/apache/lucene/wikipedia/analysis/WikipediaTokenizer.html But I never used lucene. I just want to convert a wikipedia string into a list of tokens. But, I see that there are only four methods available in this class, end, incrementToken, reset, reset(reader). Can someone point me to an example to use it.

Thank you.

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酷遇一生 2024-10-03 23:18:13

在 Lucene 3.0 中,next() 方法被删除。现在您应该使用incrementToken 来迭代标记,当您到达输入流末尾时它会返回false。要获取每个令牌,您应该使用 AttributeSource 类。根据您想要获取的属性(术语、类型、有效负载等),您需要使用 addAttribute 方法将相应属性的类类型添加到标记生成器中。

以下部分代码示例来自 WikipediaTokenizer 的测试类,如果您下载 Lucene 的源代码,您可以找到它。

...
WikipediaTokenizer tf = new WikipediaTokenizer(new StringReader(test));
int count = 0;
int numItalics = 0;
int numBoldItalics = 0;
int numCategory = 0;
int numCitation = 0;
TermAttribute termAtt = tf.addAttribute(TermAttribute.class);
TypeAttribute typeAtt = tf.addAttribute(TypeAttribute.class);

while (tf.incrementToken()) {
  String tokText = termAtt.term();
  //System.out.println("Text: " + tokText + " Type: " + token.type());
  String expectedType = (String) tcm.get(tokText);
  assertTrue("expectedType is null and it shouldn't be for: " + tf.toString(), expectedType != null);
  assertTrue(typeAtt.type() + " is not equal to " + expectedType + " for " + tf.toString(), typeAtt.type().equals(expectedType) == true);
  count++;
  if (typeAtt.type().equals(WikipediaTokenizer.ITALICS)  == true){
    numItalics++;
  } else if (typeAtt.type().equals(WikipediaTokenizer.BOLD_ITALICS)  == true){
    numBoldItalics++;
  } else if (typeAtt.type().equals(WikipediaTokenizer.CATEGORY)  == true){
    numCategory++;
  }
  else if (typeAtt.type().equals(WikipediaTokenizer.CITATION)  == true){
    numCitation++;
  }
}
...

In Lucene 3.0, next() method is removed. Now you should use incrementToken to iterate through the tokens and it returns false when you reach the end of the input stream. To obtain the each token, you should use the methods of the AttributeSource class. Depending on the attributes that you want to obtain (term, type, payload etc), you need to add the class type of the corresponding attribute to your tokenizer using addAttribute method.

Following partial code sample is from the test class of the WikipediaTokenizer which you can find if you download the source code of the Lucene.

...
WikipediaTokenizer tf = new WikipediaTokenizer(new StringReader(test));
int count = 0;
int numItalics = 0;
int numBoldItalics = 0;
int numCategory = 0;
int numCitation = 0;
TermAttribute termAtt = tf.addAttribute(TermAttribute.class);
TypeAttribute typeAtt = tf.addAttribute(TypeAttribute.class);

while (tf.incrementToken()) {
  String tokText = termAtt.term();
  //System.out.println("Text: " + tokText + " Type: " + token.type());
  String expectedType = (String) tcm.get(tokText);
  assertTrue("expectedType is null and it shouldn't be for: " + tf.toString(), expectedType != null);
  assertTrue(typeAtt.type() + " is not equal to " + expectedType + " for " + tf.toString(), typeAtt.type().equals(expectedType) == true);
  count++;
  if (typeAtt.type().equals(WikipediaTokenizer.ITALICS)  == true){
    numItalics++;
  } else if (typeAtt.type().equals(WikipediaTokenizer.BOLD_ITALICS)  == true){
    numBoldItalics++;
  } else if (typeAtt.type().equals(WikipediaTokenizer.CATEGORY)  == true){
    numCategory++;
  }
  else if (typeAtt.type().equals(WikipediaTokenizer.CITATION)  == true){
    numCitation++;
  }
}
...
可遇━不可求 2024-10-03 23:18:13

WikipediaTokenizer tf = new WikipediaTokenizer(new StringReader(test));

Token token = new Token();

令牌 = tf.next(令牌);

http://www.javadocexamples.com/java_source /org/apache/lucene/wikipedia/analysis/WikipediaTokenizerTest.java.html

问候

WikipediaTokenizer tf = new WikipediaTokenizer(new StringReader(test));

Token token = new Token();

token = tf.next(token);

http://www.javadocexamples.com/java_source/org/apache/lucene/wikipedia/analysis/WikipediaTokenizerTest.java.html

Regards

若相惜即相离 2024-10-03 23:18:13

公共类维基百科TokenizerTest {
静态记录器记录器 = Logger.getLogger(WikipediaTokenizerTest.class);
protected static Final String LINK_PHRASES = "单击 [[再次链接]] 单击 [http://lucene.apache.org 又在这里] [[类别:abcd]]";

public WikipediaTokenizer testSimple() throws Exception {
    String text = "This is a [[Category:foo]]";
    return new WikipediaTokenizer(new StringReader(text));
}
public static void main(String[] args){
    WikipediaTokenizerTest wtt = new WikipediaTokenizerTest();

    try {
        WikipediaTokenizer x = wtt.testSimple();

        logger.info(x.hasAttributes());

        Token token = new Token();
        int count = 0;
        int numItalics = 0;
        int numBoldItalics = 0;
        int numCategory = 0;
        int numCitation = 0;

        while (x.incrementToken() == true) {
            logger.info("seen something");
        }

    } catch(Exception e){
        logger.error("Exception while tokenizing Wiki Text: " + e.getMessage());
    }


}

public class WikipediaTokenizerTest {
static Logger logger = Logger.getLogger(WikipediaTokenizerTest.class);
protected static final String LINK_PHRASES = "click [[link here again]] click [http://lucene.apache.org here again] [[Category:a b c d]]";

public WikipediaTokenizer testSimple() throws Exception {
    String text = "This is a [[Category:foo]]";
    return new WikipediaTokenizer(new StringReader(text));
}
public static void main(String[] args){
    WikipediaTokenizerTest wtt = new WikipediaTokenizerTest();

    try {
        WikipediaTokenizer x = wtt.testSimple();

        logger.info(x.hasAttributes());

        Token token = new Token();
        int count = 0;
        int numItalics = 0;
        int numBoldItalics = 0;
        int numCategory = 0;
        int numCitation = 0;

        while (x.incrementToken() == true) {
            logger.info("seen something");
        }

    } catch(Exception e){
        logger.error("Exception while tokenizing Wiki Text: " + e.getMessage());
    }


}
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