Java – Calculating TFIDF score using Lucene


This is my program to calculate TF-IDF value for a document in a collection of documents.
This is working fine, but takes lot of time when calculating the "IDF" values (finding the no of documents which contains particular term).

Is there a more efficient way of finding the no of documents which contains a particular term?

freq = termsFreq.getTermFrequencies();

terms = termsFreq.getTerms();

int noOfTerms = terms.length;
score = new float[noOfTerms];
DefaultSimilarity simi = new DefaultSimilarity();

        for (i = 0; i < noOfTerms; i++) {

            int noofDocsContainTerm = noOfDocsContainTerm(terms[i]);
            float tf =[i]);
            float idf = simi.idf(noofDocsContainTerm, noOfDocs);  
            score[i] = tf * idf ;



public int noOfDocsContainTerm(String querystr) throws CorruptIndexException, IOException, ParseException{

QueryParser qp=new QueryParser(Version.LUCENE_35, "docuemnt", new StandardAnalyzer(Version.LUCENE_35));  

Query q=qp.parse(querystr);

int hitsPerPage = docNames.length; //minumum number or search results
IndexSearcher searcher = new IndexSearcher(ramMemDir, true);
TopScoreDocCollector collector = TopScoreDocCollector.create(hitsPerPage, true);, collector);

ScoreDoc[] hits = collector.topDocs().scoreDocs;

    return hits.length;

Best Solution

If you have a term and want its document frequency, i.e. the number of documents that contain this term: Call IndexReader.termEnum(Term) method. It gives you a TermEnum object. Then, call TermEnum.docFreq() method. It gives you the term's document frequency in the index.