/// <summary>
/// Handles the Cue Phrase Feature
/// </summary>
/// <param name="cuePhraseList"></param>
/// <param name="scoreWeighting"></param>
/// <returns></returns>
private Dictionary <int, double> RunCuePhraseFeature(List <string> cuePhraseList, double scoreWeighting)
{
Dictionary <int, double> sentenceScore = new Dictionary <int, double>();
for (int sentenceNumber = 0; sentenceNumber < _unstemmedText.GetSentenceCount(); sentenceNumber++)
{
var sentence = _unstemmedText.GetSentence(sentenceNumber);
string formedSentence = string.Join(" ", sentence);
var cuePhrasesInSentence = cuePhraseList.Any(phrase => formedSentence.Contains(phrase));
//if there is a cue phrase exists, add the weighting score to the sentence (per each word)
if (cuePhrasesInSentence)
{
//todo: tweakable point to improve algortihm
// the score is added to each word in the sentence per every cue phrase in the sentence.
double scoreToAdd = scoreWeighting * _unstemmedText.GetWordCountInSentence(sentenceNumber);
sentenceScore[sentenceNumber] = scoreToAdd;
}
else
{
sentenceScore[sentenceNumber] = 0;
}
}
return(sentenceScore);
}
/// <summary>
/// Maps the sentences from text to selected sentence Ids to create the summary
/// </summary>
/// <param name="sentenceIds"></param>
/// <param name="text"></param>
/// <returns></returns>
public TextModel AssembleSummarySentences(List <int> sentenceIds, TextModel text)
{
TextModel summary = new TextModel();
foreach (var sentenceId in sentenceIds)
{
var sentence = text.GetSentence(sentenceId);
summary.AddSentence(sentence);
}
return(summary);
}