using Lucene.Net.Index; using Lucene.Net.Analysis.Standard; // Create a new Term Text object representing the word "cat" Term term = new Term("content", "cat"); // Create a new StandardAnalyzer object to use for tokenization StandardAnalyzer analyzer = new StandardAnalyzer(Lucene.Net.Util.Version.LUCENE_30); // Analyze a text document and create a new TokenStream object TokenStream tokenStream = analyzer.TokenStream("content", new System.IO.StringReader("The quick brown cat jumps over the lazy dog")); // Create a new Token object to hold the current token Token token = new Token(); // Iterate over the tokens in the stream while (tokenStream.IncrementToken()) { // If the current token matches the term we're looking for, process it somehow if (term.Text() == token.TermBuffer().ToString()) { // Do something with the matched token here } }
using Lucene.Net.Index; // Create a new Term Text object representing the word "dog" Term term = new Term("content", "dog"); // Create a new document object Document doc = new Document(); // Add a new field to the document with the term we're searching for doc.Add(new Field("content", "The quick brown fox jumps over the lazy dog", Field.Store.YES, Field.Index.ANALYZED)); // Create a new IndexWriter object to write the document to the index IndexWriter writer = new IndexWriter("my_index_directory", new StandardAnalyzer(Lucene.Net.Util.Version.LUCENE_30), true, IndexWriter.MaxFieldLength.UNLIMITED); // Write the document to the index writer.AddDocument(doc); writer.Commit(); // Create a new IndexReader object to read the index IndexReader reader = IndexReader.Open(writer.Directory(), true); // Create a new TermDocs object to iterate over the terms in the index TermDocs termDocs = reader.TermDocs(term); // Iterate over the documents that contain our term, and do something with them while (termDocs.Next()) { // Get the document ID of the current document int docId = termDocs.Doc(); // Get the score of the current document float score = termDocs.Freq(); // Do something with the document ID and score here } // Close the reader and writer reader.Close(); writer.Close();In this example, we create a new Term Text object that represents the word "dog", and add it to a new document object. We then use an IndexWriter object to write the document to the index, and an IndexReader object to read the index and search for documents that contain our term. We use a TermDocs object to iterate over the documents that contain our term, and perform some kind of processing or analysis on each document. Overall, the Term Text class is an essential component of the Lucene.Net search engine library, and is used extensively to represent and search for terms and keywords in text documents.