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，我可以为您提供以下Java代码实现：

import java.io.IOException;
import java.nio.file.Paths;
import java.util.Arrays;
import java.util.List;

import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.analysis.en.EnglishAnalyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
import org.apache.lucene.analysis.tokenattributes.TypeAttribute;
import org.apache.lucene.analysis.util.CharArraySet;
import org.apache.lucene.analysis.PorterStemmer;
import org.apache.lucene.util.Version;

public class LuceneStemmingExample {
    
    public static void main(String[] args) throws IOException {
        String text = "Lucene is a Java-based search library. It provides a simple API for indexing and searching. " + 
                      "Lucene is widely used in search applications and information retrieval systems.";
        
        // Define the list of stop words
        List<String> stopWords = Arrays.asList("a", "an", "and", "are", "as", "at", "be", "but", "by",
                "for", "if", "in", "into", "is", "it", "no", "not", "of", "on", "or", "such",
                "that", "the", "their", "then", "there", "these", "they", "this", "to", "was",
                "will", "with");
        CharArraySet stopWordsSet = new CharArraySet(stopWords, true);
        
        // Create the analyzer with stop words
        StandardAnalyzer analyzer = new StandardAnalyzer(stopWordsSet);
        
        // Create the stemmer
        PorterStemmer stemmer = new PorterStemmer();
        
        // Tokenize and stem the text
        TokenStream tokenStream = analyzer.tokenStream(null, text);
        CharTermAttribute charTermAttribute = tokenStream.addAttribute(CharTermAttribute.class);
        OffsetAttribute offsetAttribute = tokenStream.addAttribute(OffsetAttribute.class);
        TypeAttribute typeAttribute = tokenStream.addAttribute(TypeAttribute.class);
        tokenStream.reset();
        while (tokenStream.incrementToken()) {
            String token = charTermAttribute.toString();
            String type = typeAttribute.type();
            if (type.equals("word")) {
                stemmer.setCurrent(token);
                stemmer.stem();
                String stemmedToken = stemmer.getCurrent();
                System.out.println(token + " -> " + stemmedToken);
            }
        }
        tokenStream.end();
        tokenStream.close();
    }
}

在这个例子中，我们使用了Lucene的`StandardAnalyzer`进行文本分析，可以去除停用词。我们还定义了一个停用词列表，并将其作为参数传递给`StandardAnalyzer`的构造函数。此外，我们还使用了Lucene的`PorterStemmer`进行词干提取。最后，我们通过遍历TokenStream的输出来获取每个词的词干形式。

希望这能解答您的问题！