public TextAnalysisSentiment CreateOutput(TextAnalysisSentiment textAnalysis, List <string> key, string journalDate = null)
{
var sb = new StringBuilder();
foreach (var word in key)
{
sb.Append(word + " ");
}
var output = new TextAnalysisSentiment
{
JournalDate = DateTime.Parse(journalDate),
DocumentSentiment = textAnalysis.DocumentSentiment,
Negative = textAnalysis.Negative,
Neutral = textAnalysis.Neutral,
Positive = textAnalysis.Positive,
Keywords = sb.ToString()
};
return(output);
}
public TextAnalysisSentiment SentimentAnalysisExampleAsync(TextAnalyticsClient client, string language, string text)
{
//string inputText = "I had the best day of my life. I wish you were there with me. I keep forgetting things. I am frustrated.";
string document = text.Replace("\r", "").Replace("\n", "");
DocumentSentiment documentSentiment = client.AnalyzeSentiment(document, language);
Console.WriteLine($"Document sentiment: {documentSentiment.Sentiment}\n");
double sumPostitive = 0;
double sumNegative = 0;
double sumNeutral = 0;
int countPositive = 0, countNegative = 0, countNeutral = 0;
double negSumScore = 0, posSumScore = 0, neuSumScore = 0;
var noOfSentences = documentSentiment.Sentences.Count;
foreach (var sentence in documentSentiment.Sentences)
{
Console.WriteLine($"\tText: \"{sentence.Text}\"");
Console.WriteLine($"\tSentence sentiment: {sentence.Sentiment}");
Console.WriteLine($"\tPositive score: {sentence.ConfidenceScores.Positive:0.00}");
Console.WriteLine($"\tNegative score: {sentence.ConfidenceScores.Negative:0.00}");
Console.WriteLine($"\tNeutral score: {sentence.ConfidenceScores.Neutral:0.00}\n");
switch (sentence.Sentiment.ToString())
{
case "Negative":
countNegative += 1;
negSumScore += sentence.ConfidenceScores.Negative;
break;
case "Positive":
countPositive += 1;
posSumScore += sentence.ConfidenceScores.Positive;
break;
case "Neutral":
countNeutral += 1;
neuSumScore += sentence.ConfidenceScores.Neutral;
break;
}
sumPostitive += sentence.ConfidenceScores.Positive;
sumNegative += sentence.ConfidenceScores.Negative;
sumNeutral += sentence.ConfidenceScores.Neutral;
}
double avePos = sumPostitive / noOfSentences;
Console.WriteLine($"\tAverage score Positive: {avePos}");
double aveNeg = sumNegative / noOfSentences;
Console.WriteLine($"\tAverage score Negative: {aveNeg}");
double aveNeu = sumNeutral / noOfSentences;
Console.WriteLine($"\tAverage score Neutral: {aveNeu}");
double v = posSumScore / countPositive;
Console.WriteLine($"\tAverage score: {v}");
double v1 = negSumScore / countNegative;
Console.WriteLine($"\tAverage score: {v1}");
double v2 = neuSumScore / countNeutral;
Console.WriteLine($"\tAverage score: {v2}");
TextAnalysisSentiment output = new TextAnalysisSentiment();
output.DocumentSentiment = documentSentiment.Sentiment.ToString();
output.Negative = aveNeg;
output.Positive = avePos;
output.Neutral = aveNeu;
return(output);
}
