public void Handle_bigrams()
{
var results = NGramProcessor.MakeNgrams(Sentence, 2);
var arr = results as string[] ?? results.ToArray();
arr.Should().Contain("hello this");
arr.Should().Contain("an example");
arr.Should().Contain("I hope");
arr.Should().Contain("ain't that");
}
public void CreateNgrams(string arg = null)
{
if (!string.IsNullOrEmpty(arg))
{
Sentence = arg;
}
Log.Verbose("text match {ngram} {text}", Sentence);
Words = Sentence.SplitSentenceIntoWords()
.ToList()
.ConvertAll(x => x.ToLowerInvariantWithOutSpaces())
.Where(x => !x.IsGibberish())
.ToList();
WordsCleaned = Words.Select(x => x.ToAlphaNumericOnly()).Where(x => !string.IsNullOrWhiteSpace(x))
.ToList();
var text = string.Join(" ", WordsCleaned);
Ngrams = new ConcurrentDictionary <int, IEnumerable <string> >();
if (WordsCleaned.Count > 3)
{
Ngrams.Add(new KeyValuePair <int, IEnumerable <string> >(4, NGramProcessor.MakeNgrams(text, 4)));
}
if (WordsCleaned.Count > 2)
{
Ngrams.Add(new KeyValuePair <int, IEnumerable <string> >(3, NGramProcessor.MakeNgrams(text, 3)));
}
if (WordsCleaned.Count > 1)
{
Ngrams.Add(new KeyValuePair <int, IEnumerable <string> >(2, NGramProcessor.MakeNgrams(text, 2)));
}
Ngrams.Add(new KeyValuePair <int, IEnumerable <string> >(1, WordsCleaned));
}
