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using Lemmatization;
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using System;
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using System.Collections.Concurrent;
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using System.Collections.Generic;
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using System.Linq;
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using System.Threading;
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using TFIDFbee.Reader;
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using ZeroLevel.Services.Semantic;
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namespace TFIDFbee
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{
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class Program
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{
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private const string source = @"D:\Desktop\lenta-ru-data-set_19990901_20171204_limit_1000.json";
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private readonly static ILexProvider _lexer = new LexProvider(new LemmaLexer());
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private readonly static ConcurrentDictionary<string, double> _scoring = new ConcurrentDictionary<string, double>();
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static void Main(string[] args)
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{
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IDF idf = new IDF();
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IDocumentReader reader = new JsonByLineReader(source, _lexer);
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foreach (var batch in reader.ReadBatches(1000))
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{
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foreach (var doc in batch)
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{
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idf.Append(doc);
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}
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}
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foreach (var batch in reader.ReadBatches(1000))
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{
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foreach (var doc in batch)
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{
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var tfidf = TFIDF.TfIdf(doc, idf);
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Console.WriteLine(String.Join(" ", tfidf.OrderByDescending(p => p.Value).Take(10).Select(p => p.Key)));
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Console.WriteLine();
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Console.WriteLine(" ***");
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Console.WriteLine();
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Thread.Sleep(1000);
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}
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}
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/*
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Log.AddConsoleLogger(ZeroLevel.Logging.LogLevel.FullDebug);
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Configuration.Save(Configuration.ReadFromApplicationConfig());
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IDocumentReader reader = new JsonByLineReader(source, s => ExtractLemmas(s));
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ZeroLevel.Services.Semantic.Helpers.BagOfTerms codebook;
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if (File.Exists("model.bin"))
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{
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Log.Info("Load model from file");
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using (var stream = new FileStream("model.bin", FileMode.Open, FileAccess.Read, FileShare.ReadWrite))
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{
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codebook = MessageSerializer.Deserialize<ZeroLevel.Services.Semantic.Helpers.BagOfTerms>(stream);
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}
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}
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else
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{
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Log.Info("Create and train model");
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codebook = new ZeroLevel.Services.Semantic.Helpers.BagOfTerms();
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foreach (var batch in reader.ReadBatches(1000))
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{
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codebook.Learn(batch);
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Log.Info($"\r\n\tDocuments: {codebook.NumberOfDocuments}\r\n\tWords: {codebook.NumberOfWords}");
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}
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using (var stream = new FileStream("model.bin", FileMode.Create, FileAccess.Write, FileShare.ReadWrite))
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{
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MessageSerializer.Serialize<ZeroLevel.Services.Semantic.Helpers.BagOfTerms>(stream, codebook);
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}
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}
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Log.Info("Create vectors");
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foreach (var docs in reader.ReadRawDocumentBatches(1000))
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{
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foreach (var doc in docs)
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{
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var words = ExtractLemmas(doc.Item2).Concat(ExtractLemmas(doc.Item1)).Distinct().ToArray();
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var vector = codebook.Transform(words);
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for (var i = 0; i< words.Length; i++)
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{
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var word = words[i];
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if (false == _scoring.ContainsKey(word))
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{
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_scoring.TryAdd(word, vector)
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}
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}
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}
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}
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using (var stream = new FileStream("vectors.bin", FileMode.Create, FileAccess.Write, FileShare.ReadWrite))
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{
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MessageSerializer.SerializeCompatible<List<SparceVector>>(stream, vectors);
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}
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Log.Info("Find similar documents");
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var list = new List<Tuple<double, int, int>>();
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long total_count = ((long)vectors.Count * (long)vectors.Count);
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long count = 0;
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double d = (double.Epsilon * 2.0d);
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for (int i = 0; i < vectors.Count; i++)
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{
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for (int j = i + 1; j < vectors.Count - 1; j++)
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{
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count++;
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if (count % 10000000 == 0)
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{
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Log.Info($"Progress: {((count * 100.0d) / total_count)} %.\tFound similars: {list.Count}.");
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}
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if (i == j) continue;
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var diff = vectors[i].Measure(vectors[j]);
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if (diff > d && diff < 0.0009d)
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{
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list.Add(Tuple.Create(diff, i, j));
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}
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}
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}
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Log.Info("Prepare to show similar documents");
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var to_present = list.OrderBy(e => e.Item1).Take(2000).ToArray();
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var to_present_map = new Dictionary<int, Tuple<string, string>>();
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foreach (var e in to_present)
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{
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if (!to_present_map.ContainsKey(e.Item2))
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{
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to_present_map.Add(e.Item2, null);
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}
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if (!to_present_map.ContainsKey(e.Item3))
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{
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to_present_map.Add(e.Item3, null);
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}
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}
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int index = 0;
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foreach (var docs in reader.ReadRawDocumentBatches(1000))
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{
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foreach (var doc in docs)
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{
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if (to_present_map.ContainsKey(index))
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{
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to_present_map[index] = doc;
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}
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index++;
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}
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}
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Log.Info("Show similar documents");
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index = 0;
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using (var output = new StreamWriter("out.txt"))
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{
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foreach (var e in to_present)
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{
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output.WriteLine($"#{index++}: {e.Item1}");
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output.WriteLine("-------------1--------------");
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output.WriteLine(to_present_map[e.Item2].Item1);
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output.WriteLine(to_present_map[e.Item2].Item2);
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output.WriteLine("-------------2--------------");
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output.WriteLine(to_present_map[e.Item3].Item1);
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output.WriteLine(to_present_map[e.Item3].Item2);
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output.WriteLine("#############################");
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output.WriteLine();
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}
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}
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*/
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Console.WriteLine("Completed");
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Console.ReadKey();
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}
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private static IEnumerable<string> ExtractLemmas(string text)
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{
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return
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_lexer.ExtractUniqueLexTokensWithoutStopWords(text)
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.Select(t => t.Token)
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.Where(s => s.Any(c => char.IsLetter(c)));
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}
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}
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}
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Ogoun
5 years ago