public List <string> FindBestPredictSentenceAllPages()
{
string document = BuildTheDocument();
string[] allWords = KeywordResearcher.splitTheWordInString(document);
string[] questionKeyword = KeywordResearcher.GetKeywordArray(PageList[0].Question);
List <string> predictSentenceAllPage = CollectAllPredictSentenceAllPages();
QuestionAnalysis questionAnalysis = new QuestionAnalysis(PageList[0].Question);
int count = questionKeyword.Length;
List <string> sentences = new List <string>();
string key = "";
if (questionAnalysis.isShortAnswer())
{
int num = PageList[0].Question.Split(' ').Count();
if (num > 8)
{
while (count > 0)
{
//sentences = KeywordResearcher.FindTheBestPredictSentence(count, questionKeyword, predictSentenceAllPage);
key = QuestionWordCombine(count, questionKeyword);
sentences = SentencesContainKeyCombine(key, predictSentenceAllPage);
count = (sentences.Count != 0) ? 0 : --count;
}
}
else
{
List <string> allquestionPosibleCombine = QuestionWordConbime2(PageList[0].Question);
int predict = 0;
for (int i = 0; i < allquestionPosibleCombine.Count; i++)
{
sentences.AddRange(SentencesContainKeyCombine(allquestionPosibleCombine[i], predictSentenceAllPage));
if (predict == 0 || predict <= allquestionPosibleCombine[i].Split(' ').Count() - 1 || sentences.Count == 0)
{
predict = allquestionPosibleCombine[i].Split(' ').Count() - 1;
}
else
{
break;
}
}
}
}
else
{
while (count > 0)
{
sentences = KeywordResearcher.FindTheBestPredictSentence(count, questionKeyword, predictSentenceAllPage);
count = (sentences.Count != 0) ? 0 : --count;
}
}
return(sentences);
}
public List <string> Priority2()
{
List <string> priority2 = new List <string>();
QuestionAnalysis questionFactory = new QuestionAnalysis(Question);
string[] questionKeyword = questionFactory.FindKeywordInQuestion();
foreach (string s in Sentences)
{
if (KeywordResearcher.IsContainAtLeastOneKeyword(s, questionKeyword))
{
priority2.Add(s);
}
}
return(priority2);
}
