private JArray _getTweetPieCount()
{
var attrArr = new JArray();
var svc = new Twitterservice();
IEnumerable<KeyValuePair<string, List<ITweet>>> results = _keys.Select(x => new KeyValuePair<string, List<ITweet>>(x, svc.GeTweetsByKeyWord(x)));
int totalCount = results.Sum(x => x.Value.Count);
Dictionary<string, double> data = results.ToDictionary(x => x.Key, x => (double) x.Value.Count/totalCount);
int i = 0;
foreach (var d in data)
{
attrArr.Add(new JObject
{
{"label", new JValue(d.Key)},
{"data", new JValue(d.Value)},
{"color", new JValue(Colors[i++ % Colors.Count])}
});
}
return attrArr;
}
public Ranking GetRanking(string searchkey)
{
var svc = new Twitterservice();
var sems = new List<SemanticScoreData.SemanticElement>();
List<ITweet> tweets = svc.GeTweetsByKeyWord(searchkey);
sems.AddRange(tweets.Select(x => new SemanticScoreData.SemanticElement(searchkey, x)));
var analysisData = _getSemanticDataForTweets(tweets);
foreach (var sem in sems)
{
sem.SemanticData = analysisData.FirstOrDefault(x => x.Tag == sem.TweetData.IdStr);
}
var resultGroups = sems.GroupBy(x => x.ProductId);
var grp = resultGroups.FirstOrDefault();
var ranking = new Ranking();
var count = sems.Count;
var semData = sems.Where(x => x.SemanticData != null).ToList();
double score=0.0;
double index = 0.0;
if (semData.Count>0){
score = semData.Sum(x => x.SemanticData.SentimentScore) /semData.Count;
index = Math.Round(score/count*1000);
}
ranking = new Ranking()
{
Name = searchkey,
Score = Math.Round(score * 100),
Total = count,
Index = index
};
return ranking;
}