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    copied!<pre><code> class TVM : TermVectorMapper { public List&lt;string&gt; FoundTerms = new List&lt;string&gt;(); HashSet&lt;string&gt; _termTexts = new HashSet&lt;string&gt;(); public TVM(Query q, IndexReader r) : base() { List&lt;Term&gt; allTerms = new List&lt;Term&gt;(); q.Rewrite(r).ExtractTerms(allTerms); foreach (Term t in allTerms) _termTexts.Add(t.Text()); } public override void SetExpectations(string field, int numTerms, bool storeOffsets, bool storePositions) { } public override void Map(string term, int frequency, TermVectorOffsetInfo[] offsets, int[] positions) { if (_termTexts.Contains(term)) FoundTerms.Add(term); } } void TermVectorMapperTest() { RAMDirectory dir = new RAMDirectory(); IndexWriter writer = new IndexWriter(dir, new Lucene.Net.Analysis.Standard.StandardAnalyzer(), true); Document d = null; d = new Document(); d.Add(new Field("text", "microscope aaa", Field.Store.YES, Field.Index.ANALYZED,Field.TermVector.WITH_POSITIONS_OFFSETS)); writer.AddDocument(d); d = new Document(); d.Add(new Field("text", "microsoft bbb", Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS)); writer.AddDocument(d); writer.Close(); IndexReader reader = IndexReader.Open(dir); IndexSearcher searcher = new IndexSearcher(reader); QueryParser queryParser = new QueryParser("text", new Lucene.Net.Analysis.Standard.StandardAnalyzer()); queryParser.SetMultiTermRewriteMethod(MultiTermQuery.SCORING_BOOLEAN_QUERY_REWRITE); Query query = queryParser.Parse("micro*"); TopDocs results = searcher.Search(query, 5); System.Diagnostics.Debug.Assert(results.TotalHits == 2); TVM tvm = new TVM(query, reader); for (int i = 0; i &lt; results.ScoreDocs.Length; i++) { Console.Write("DOCID:" + results.ScoreDocs[i].Doc + " &gt; "); reader.GetTermFreqVector(results.ScoreDocs[i].Doc, "text", tvm); foreach (string term in tvm.FoundTerms) Console.Write(term + " "); tvm.FoundTerms.Clear(); Console.WriteLine(); } } </code></pre>
 

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