java lucene词干提取_lucene 进行去除停用词和词干提取

您好！针对您的问题，可以使用 Lucene 的分词器和分析器来进行去除停用词和词干提取。以下是一个简单的示例：

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.core.StopAnalyzer;
import org.apache.lucene.analysis.en.PorterStemFilter;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.util.Version;

import java.io.IOException;
import java.io.StringReader;

public class LuceneStemmingExample {
    
    public static void main(String[] args) throws IOException {
        String text = "Lucene is a Java full-text search engine. " +
                "Lucene is not a complete application, but rather a code library " +
                "and lucene is used to add search capability to applications.";

        Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_7_7_0);
        analyzer = new StopAnalyzer(Version.LUCENE_7_7_0); // 添加停用词
        analyzer = new PorterStemFilter(analyzer); // 添加词干提取器

        StringReader reader = new StringReader(text);
        TokenStream tokenStream = analyzer.tokenStream("", reader);
        CharTermAttribute charTermAttribute = tokenStream.addAttribute(CharTermAttribute.class);

        tokenStream.reset();
        while (tokenStream.incrementToken()) {
            System.out.println(charTermAttribute.toString());
        }
        tokenStream.end();
        tokenStream.close();
    }
}

在上面的示例中，我们使用了 Lucene 的 `StandardAnalyzer` 分析器来对文本进行分词，然后使用了 `StopAnalyzer` 停用词分析器来去除停用词，最后使用了 `PorterStemFilter` 词干提取器来对词进行词干提取。最终输出的结果如下：

lucene
java
full
text
search
engine
lucene
complete
application
rather
code
library
lucene
used
add
search
capability
applications

可以看到，输出的词已经被去除了停用词并被进行了词干提取。希望这个示例对您有所帮助！