che*_*kha 7 lucene indexing tf-idf frequency-analysis
我正在尝试计算文档中每个术语的tf-idf值.因此,我遍历文档中的术语,并希望在整个语料库中找到术语的频率以及术语出现的文档数.以下是我的代码:
//@param index path to index directory
//@param docNbr the document number in the index
public void readingIndex(String index, int docNbr) {
IndexReader reader = DirectoryReader.open(FSDirectory.open(new File(index)));
Document doc = reader.document(docNbr);
System.out.println("Processing file: "+doc.get("id"));
Terms termVector = reader.getTermVector(docNbr, "contents");
TermsEnum itr = termVector.iterator(null);
BytesRef term = null;
while ((term = itr.next()) != null) {
String termText = term.utf8ToString();
long termFreq = itr.totalTermFreq(); //FIXME: this only return frequency in this doc
long docCount = itr.docFreq(); //FIXME: docCount = 1 in all cases
System.out.println("term: "+termText+", termFreq = "+termFreq+", docCount = "+docCount);
}
reader.close();
}
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虽然文档说totalTermFreq()返回所有文档中该术语的总出现次数,但在测试时我发现它只返回docNbr给出的文档中术语的频率.和docFreq()总是返回1.
如何在整个索引中获得术语的频率?
更新 当然,我可以创建一个地图来将一个术语映射到它的频率.然后遍历每个文档以计算术语发生的总时间.但是,我认为Lucene应该有一个内置的方法用于此目的.谢谢,
fem*_*gon 13
IndexReader.TotalTermFreq(Term)会为你提供这个.您对类似方法的调用TermsEnum确实提供了枚举中所有文档的统计信息.使用阅读器可以获得索引本身中所有文档的统计信息.就像是:
String termText = term.utf8ToString();
Term termInstance = new Term("contents", term);
long termFreq = reader.totalTermFreq(termInstance);
long docCount = reader.docFreq(termInstance);
System.out.println("term: "+termText+", termFreq = "+termFreq+", docCount = "+docCount);
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