public SentimentScores ElaborateSentence(string sentence)
{
var client = new TextAnalyticsClient(endpoint, credentials);
DocumentSentiment documentSentiment = client.AnalyzeSentiment(sentence, "it");
Console.WriteLine($"Sentence sentiment: {documentSentiment.Sentiment}\n");
var score = new SentimentScores();
score.SetSentiment((SentimentScores.TextSentiment)documentSentiment.Sentiment);
score.Positive = documentSentiment.ConfidenceScores.Positive;
score.Negative = documentSentiment.ConfidenceScores.Negative;
score.Neutral = documentSentiment.ConfidenceScores.Neutral;
return(score);
}
private async Task ProcessSentiment(OnMessageReceivedArgs e)
{
// to remove noise
if (e.ChatMessage.Message.Length < 10)
{
return;
}
// limit number of stored SentimentScores to react quickly to changes
if (sentimentScores.Count > 10)
{
sentimentScores.RemoveAt(0);
}
var currentScore = _sentimentAnalysisService.ElaborateSentence(e.ChatMessage.Message);
await connection.SendAsync("SendTask", "SendSentiment", currentScore.GetSentiment().ToString().ToLower());
var currentUnrankedSentiment = new Dictionary <SentimentScores.TextSentiment, double>
{
{ SentimentScores.TextSentiment.Positive, currentScore.Positive },
{ SentimentScores.TextSentiment.Neutral, currentScore.Neutral },
{ SentimentScores.TextSentiment.Negative, currentScore.Negative },
};
var currentRankedSentiment = currentUnrankedSentiment.OrderBy(item => item.Value);
_logger.LogInformation(string.Concat(
"currentScore:",
Environment.NewLine,
string.Join(
Environment.NewLine,
currentRankedSentiment.Select(a => $"{a.Key}: {a.Value}")
)
)
);
var processedSentiment = new SentimentScores();
switch (currentRankedSentiment.Last().Key)
{
case SentimentScores.TextSentiment.Positive:
processedSentiment.Positive = currentRankedSentiment.Last().Value;
break;
case SentimentScores.TextSentiment.Neutral:
processedSentiment.Neutral = currentRankedSentiment.Last().Value;
break;
case SentimentScores.TextSentiment.Negative:
processedSentiment.Negative = currentRankedSentiment.Last().Value;
break;
}
sentimentScores.Add(processedSentiment);
var chatUnrankedSentiment = new Dictionary <SentimentScores.TextSentiment, double>
{
{ SentimentScores.TextSentiment.Positive, sentimentScores.Average(c => c.Positive) },
{ SentimentScores.TextSentiment.Neutral, sentimentScores.Average(c => c.Neutral) },
{ SentimentScores.TextSentiment.Negative, sentimentScores.Average(c => c.Negative) },
};
var chatRankedSentiment = chatUnrankedSentiment.OrderBy(item => item.Value);
// set current chat sentiment with values
currentChatSentiment.SetSentiment(chatRankedSentiment.Last().Key);
currentChatSentiment.Positive = chatUnrankedSentiment[SentimentScores.TextSentiment.Positive];
currentChatSentiment.Neutral = chatUnrankedSentiment[SentimentScores.TextSentiment.Neutral];
currentChatSentiment.Negative = chatUnrankedSentiment[SentimentScores.TextSentiment.Negative];
_logger.LogInformation(string.Concat(
"Chat sentiment:",
Environment.NewLine,
string.Join(
Environment.NewLine,
chatRankedSentiment.Select(a => $"{a.Key}: {a.Value}")
)
)
);
// interesting can be used with a gauge or a vertical meter that can go from -1 to 1
double absoluteSentiment = (currentChatSentiment.Positive - currentChatSentiment.Neutral) -
(currentChatSentiment.Negative - currentChatSentiment.Neutral);
_logger.LogInformation(string.Concat("Absolute sentiment:", absoluteSentiment));
await connection.SendAsync("SendTask", "SendGaugeSentiment", absoluteSentiment);
}
