You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Zero/ZeroLevel/Services/Semantic/Helpers/TextAnalizer.cs

107 lines
3.8 KiB

This file contains ambiguous Unicode characters!

This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.

using System.Collections.Generic;
using System.Linq;
using System.Text.RegularExpressions;
using ZeroLevel.Services.Semantic;
namespace ZeroLevel.Implementation.Semantic.Helpers
{
public static class TextAnalizer
{
internal static readonly Regex ReWord = new Regex("\\b[\\wА-Яа-я-]+\\b",
RegexOptions.Compiled | RegexOptions.IgnoreCase);
internal static readonly Regex ReRuWord = new Regex("\\b[А-Яа-я-]+\\b",
RegexOptions.Compiled | RegexOptions.IgnoreCase);
/// <summary>
/// Highlighting words from text
/// </summary>
/// <param name="text">Text</param>
/// <returns>Words</returns>
public static IEnumerable<string> ExtractWords(string text)
{
foreach (Match match in ReWord.Matches(text))
{
yield return match.Value;
}
}
public static IEnumerable<string> ExtractRuWords(string text)
{
foreach (Match match in ReRuWord.Matches(text))
{
yield return match.Value;
}
}
/// <summary>
/// Highlighting unique words from text
/// </summary>
/// <param name="text">Text</param>
/// <returns>List of unique words</returns>
public static IEnumerable<string> ExtractUniqueWords(string text)
{
return new HashSet<string>(ExtractWords(text));
}
/// <summary>
/// Highlighting unique words from text without stop words
/// </summary>
/// <param name="text">Text</param>
/// <returns>List of unique words without stop words</returns>
public static IEnumerable<string> ExtractUniqueWordsWithoutStopWords(string text)
{
return new HashSet<string>(ExtractUniqueWords(text).Where(w => StopWords.IsStopWord(w) == false));
}
/// <summary>
/// Extract tokens from text
/// </summary>
/// <param name="text">Text</param>
/// <returns>Tokens</returns>
public static IEnumerable<WordToken> ExtractWordTokens(string text)
{
foreach (Match match in ReWord.Matches(text))
{
yield return new WordToken(match.Value, match.Index);
}
}
public static IEnumerable<WordToken> ExtractWordTokens(string[] words)
{
for (int i = 0; i < words.Length; i++)
{
yield return new WordToken(words[i], i);
}
}
/// <summary>
/// Selection of unique tokens from the text (first entry)
/// </summary>
/// <param name="text">Text</param>
/// <returns>List of unique tokens</returns>
public static IEnumerable<WordToken> ExtractUniqueWordTokens(string text)
{
return ExtractWordTokens(text).DistinctBy(t => t.Word);
}
public static IEnumerable<WordToken> ExtractUniqueWordTokens(string[] words)
{
return ExtractWordTokens(words).DistinctBy(t => t.Word);
}
/// <summary>
/// Allocation of unique tokens from text with drop of stop words
/// </summary>
/// <param name="text">Text</param>
/// <returns>List of unique tokens without stop words</returns>
public static IEnumerable<WordToken> ExtractUniqueWordTokensWithoutStopWords(string text)
{
return ExtractWordTokens(text).DistinctBy(t => t.Word).Where(t => StopWords.IsStopWord(t.Word) == false);
}
public static IEnumerable<WordToken> ExtractUniqueWordTokensWithoutStopWords(string[] words)
{
return ExtractWordTokens(words).DistinctBy(t => t.Word).Where(t => StopWords.IsStopWord(t.Word) == false);
}
}
}

Powered by TurnKey Linux.