public GreyTweetAnalysisResult CalculateTweetPerception(string tweet)
{
var annotations = new List <Annotation>();
var boosterWords = new List <string> {
"amazingly", "amaizing", "very"
};
var words = tweet.Split(' ');
var tweetGreyScore = new GreyNumber(0, 0);
foreach (var word in words)
{
if (_greySentimentLexiconDictionary.ContainsKey(word))
{
var wordGreyScore = _greySentimentLexiconDictionary[word];
tweetGreyScore.Low += wordGreyScore.Low;
tweetGreyScore.High += wordGreyScore.High;
annotations.Add(new SentimentAnnotation(word, wordGreyScore));
}
if (boosterWords.Contains(word))
{
annotations.Add(new BoosterAnnotation(word));
}
else
{
annotations.Add(new Annotation(word));
}
}
return(new GreyTweetAnalysisResult(tweet, tweetGreyScore, annotations));
}
public GreyTweetAnalyser(string lexicon)
{
_greySentimentLexiconDictionary = new Dictionary <string, GreyNumber>();
using (var reader = new StreamReader(File.OpenRead(lexicon)))
{
while (!reader.EndOfStream)
{
var line = reader.ReadLine();
var values = line.Split(',');
var word = values[0];
var low = double.Parse(values[1]);
var high = double.Parse(values[2]);
var greyNumber = new GreyNumber(low, high);
_greySentimentLexiconDictionary.Add(word, greyNumber);
}
}
}
public SentimentAnnotation(string word, GreyNumber greyPerception)
: base(word)
{
GreyPerception = greyPerception;
}
public GreyTweetAnalysisResult(string tweet, GreyNumber greyPerception, List <Annotation> annotations)
{
Tweet = tweet;
GreyPerception = greyPerception;
Annotations = annotations;
}
