public static float[] CalculateInputSentenceTFIDFVector(string sentence, ProcessedDataset processedDataset, int ngramSize)
{
// calculate ngrams for the sentence
var ngSize = ngramSize == default ? NGramSize : ngramSize;
var sentenceNGrams = NGramsController.GetSentenceNGrams(sentence, ngSize);
// calculate ngrams frequencies
var sentenceNGramFrequencies = NGramFrequencyController.GetNGramFrequency(sentenceNGrams);
// calculate TF vector
var sentenceTFVectorDataset = TFController.CalculateTFVector(sentenceNGramFrequencies, processedDataset.UniqueNGramsVector);
// calculate TF-IDF vector
return(MultiplicationCalculator.MultiplyVectorsByCell(sentenceTFVectorDataset, processedDataset.IDFVector));
}
public static float[][] CalculateInputSenenteceTokensTFIDFMatrix(List <TokenMatchInfo> sentenceTokens, ProcessedDataset processedDataset, int ngramSize)
{
// CAN BE MADE MORE EFFICIENT SINCE SOME TOKENS ARE SUBTOKENS OF OTHERS
// TODO: Implement more efficient solution that makes use of Sub-tokens
// calculate ngrams for tokens
var ngSize = ngramSize == default ? NGramSize : ngramSize;
var tokensNgrams = NGramsController.GetSentenceNGramsBatch(sentenceTokens, ngSize);
// calculate N-Gram Frequencies
var inputTokensNGramFrequencies = NGramFrequencyController.GetNGramFrequencyBatch(tokensNgrams);
// calculate TF Matrix
var inputTokensTFMaxtrixDataset = TFController.CalculateTFVectorBatch(inputTokensNGramFrequencies, processedDataset.UniqueNGramsVector);
// calculate TF-IDF Matrix
var inputTokensTFIDFMatrixDataset = MultiplicationCalculator.MultiplyVectorsByCellBatch(inputTokensTFMaxtrixDataset, processedDataset.IDFVector);
return(inputTokensTFIDFMatrixDataset);
}
public static void CalculateDatasetTFIDFValues(List <string> dataset, out string[] uniqueNGramsVector, out float[] datasetIDFVector, out float[][] datasetTFIDFMatrix, int ngramSize = default)
{
// calculate ngrams for each sentence
var ngSize = ngramSize == default ? NGramSize : ngramSize;
var datasetNGrams = NGramsController.GetSentenceNGramsBatch(dataset, ngSize);
// calculate ngram frequencies
var ngramFrequencies = NGramFrequencyController.GetNGramFrequencyBatch(datasetNGrams);
var overallNgramFrequencies = NGramFrequencyController.GetOverallNGramFrequency(datasetNGrams).GetAwaiter().GetResult();
// get ngrams feature vector
uniqueNGramsVector = overallNgramFrequencies.Keys.ToArray();
// calculate TF
var datasetTFMatrix = TFController.CalculateTFVectorBatch(ngramFrequencies, uniqueNGramsVector);
// calculate IDF
int dataLength = dataset.Count + 1;
datasetIDFVector = IDFController.CalculateIDFVector(uniqueNGramsVector, overallNgramFrequencies, dataLength);
// calculate TF-IDF
datasetTFIDFMatrix = MultiplicationCalculator.MultiplyVectorsByCellBatch(datasetTFMatrix, datasetIDFVector);
}