public int Classify(string text)
{
Lemmatizer.Stopwords = _stopwords;
var vector = Lemmatizer.LemmatizeCurrentText(text);
int sign = 1, tone = 0, toneCount = 0;
for (int i = 0; i < vector.Count; i++)
{
if (_sentilex.ContainsKey(vector[i]) || _specificLexicon.ContainsKey(vector[i]))
{
int basictone = (_specificLexicon.ContainsKey(vector[i])) ? _specificLexicon[vector[i]] : _sentilex[vector[i]];
if (i - 1 > 0)
{
if (_negations.Contains(vector[i - 1]))
{
sign = -1;
}
if (_gains.Contains(vector[i - 1]))
{
if (i - 2 > 0 && _negations.Contains(vector[i - 2]))
{
sign = -1;
}
}
}
tone += basictone * sign;
toneCount++;
}
}
if (toneCount > 0)
{
var doubletone = tone / (toneCount + 0.0);
if (doubletone > 0.3)
{
return(1);
}
else if (doubletone < -0.3)
{
return(-1);
}
else
{
return(0);
}
}
else
{
return(0);
}
}
public void parse(string inputString, int emotion)
{
var lemmatizer = new Lemmatizer();
this.emotion = emotion;
StringReader input = new StringReader(inputString);
var vector = Lemmatizer.LemmatizeCurrentText(inputString);
string prevWord = null;
foreach (var str in vector)
{
addGramm(str);
if (prevWord != null)
{
addGramm(prevWord + " " + str);
}
prevWord = str;
}
}
