public async Task <TextAnalysisResult> AnalyzeTextAsync(string text)
{
// See: https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/quickstarts/csharp
var analysisResult = new TextAnalysisResult();
if (string.IsNullOrEmpty(text))
{
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeTextAsync(): no text to analyze");
return(analysisResult);
}
string textToAnalyze = text;
if (text.Length > 5000)
{
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeTextAsync(): text longer than supported length. Trimming it...");
textToAnalyze = text.Substring(0, 5000);
}
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeTextAsync(): initializing TextAnalyticsAPI");
ITextAnalyticsAPI m_TextAnalyticsClient = new TextAnalyticsAPI
{
AzureRegion = AzureRegions.Westeurope,
SubscriptionKey = m_TextAnalyticsAPISubscriptionKey
};
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeTextAsync(): detecting content language");
var batchLanguageResult = await m_TextAnalyticsClient.DetectLanguageAsync(new BatchInput(new List <Input>()
{
new Input("1", textToAnalyze)
})).ConfigureAwait(false);
if (batchLanguageResult.Errors.Count > 0)
{
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeTextAsync(): error while detecting language");
foreach (var errors in batchLanguageResult.Errors)
{
Console.WriteLine($"\t{errors.Message}");
}
return(analysisResult);
}
analysisResult.DetectedLanguage = batchLanguageResult.Documents[0].DetectedLanguages[0].Name;
analysisResult.DetectedLanguageScore = batchLanguageResult.Documents[0].DetectedLanguages[0].Score.GetValueOrDefault();
Console.WriteLine($"\t\t\tContentAnalyzer.AnalyzeTextAsync(): detected language is '{analysisResult.DetectedLanguage}' ({(analysisResult.DetectedLanguageScore * 100):0.00}%)");
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeTextAsync(): performing key-phrase extraction");
var multiLanguageInput = new MultiLanguageBatchInput(new List <MultiLanguageInput>()
{
new MultiLanguageInput(batchLanguageResult.Documents[0].DetectedLanguages[0].Iso6391Name, "1", textToAnalyze)
});
var batchKeyphraseResult = await m_TextAnalyticsClient.KeyPhrasesAsync(multiLanguageInput).ConfigureAwait(false);
if (batchKeyphraseResult.Errors.Count > 0)
{
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeTextAsync(): error while extracting key-phrases");
foreach (var errors in batchKeyphraseResult.Errors)
{
Console.WriteLine($"\t\t\t\t{errors.Message}");
}
return(analysisResult);
}
Console.WriteLine($"\t\t\tContentAnalyzer.AnalyzeTextAsync(): retrieved {batchKeyphraseResult.Documents[0].KeyPhrases.Count} key-phrases:");
foreach (var keyphrase in batchKeyphraseResult.Documents[0].KeyPhrases)
{
analysisResult.KeyPhrases.Add(keyphrase);
Console.WriteLine($"\t\t\t\t{keyphrase}");
}
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeTextAsync(): performing sentiment analysis");
var batchSentimentResult = await m_TextAnalyticsClient.SentimentAsync(multiLanguageInput).ConfigureAwait(false);
if (batchSentimentResult.Errors.Count > 0)
{
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeTextAsync(): error while detecting sentiment");
foreach (var errors in batchSentimentResult.Errors)
{
Console.WriteLine($"\t\t\t\t{errors.Message}");
}
return(analysisResult);
}
analysisResult.SentimentScore = batchSentimentResult.Documents[0].Score.GetValueOrDefault();
analysisResult.Sentiment = GetSentiment(analysisResult.SentimentScore);
Console.WriteLine($"\t\t\tContentAnalyzer.AnalyzeTextAsync(): sentiment is '{analysisResult.Sentiment}' ({(analysisResult.SentimentScore * 100):0.00}%)");
// Extend analysis by estimating reading time for content
analysisResult.WordCount = TextTokenizer.GetWordCount(text);
analysisResult.ReadingTimeInMinutes = ReadingTimeEstimator.GetEstimatedReadingTime(analysisResult.WordCount, analysisResult.DetectedLanguage);
return(analysisResult);
}
public async Task <ImageAnalysisResult> AnalyzeImageAsync(string url)
{
var analysisResult = new ImageAnalysisResult();
try
{
// USING Microsoft provided VisionClientLibrary seems not working in NET Core as-is, a fix is required for ExpandoObject
// see: https://github.com/Microsoft/Cognitive-Vision-DotNetCore/pull/1/commits/9c4647edb400aecd4def330537d5bcd74f126111
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeImageAsync(): initializing VisionAPI client");
var visionApiClient = new VisionServiceClient(m_VisionAPISubscriptionKey, "https://westeurope.api.cognitive.microsoft.com/vision/v1.0");
var visualFeatures = new List <VisualFeature> {
VisualFeature.Adult, VisualFeature.Categories, VisualFeature.Color, VisualFeature.Description, VisualFeature.Faces, VisualFeature.ImageType /*, VisualFeature.Tags */
};
var details = new List <string> {
"Celebrities", "Landmarks"
};
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeImageAsync(): started image analysis");
var visionApiResult = await visionApiClient.AnalyzeImageAsync(url, visualFeatures, details).ConfigureAwait(false);
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeImageAsync(): executing OCR");
var ocrResult = await visionApiClient.RecognizeTextAsync(url).ConfigureAwait(false);
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeImageAsync(): performing tag identification");
var tagsResult = await visionApiClient.GetTagsAsync(url).ConfigureAwait(false);
Console.WriteLine("\t\t\tContentAnalyzer.AnalyzeImageAsync(): analysis completed");
// Mapping VisionAPI Client entity to domain entity
analysisResult.AdultContent = new ImageAnalysisAdultContentResult {
AdultScore = visionApiResult.Adult.AdultScore, IsAdultContent = visionApiResult.Adult.IsAdultContent, IsRacyContent = visionApiResult.Adult.IsRacyContent, RacyScore = visionApiResult.Adult.RacyScore
};
analysisResult.Colors = new ImageAnalysisColorResult {
AccentColor = visionApiResult.Color.AccentColor, DominantColorBackground = visionApiResult.Color.DominantColorBackground, DominantColorForeground = visionApiResult.Color.DominantColorForeground, IsBWImg = visionApiResult.Color.IsBWImg
};
analysisResult.Categories = visionApiResult.Categories.Select(c => new ImageAnalysisCategoryResult {
Text = c.Name, Score = c.Score
}).OrderByDescending(c => c.Score).ToList();
analysisResult.Descriptions = visionApiResult.Description.Captions.Select(c => new ImageAnalysisDescriptionResult {
Text = c.Text, Score = c.Confidence
}).OrderByDescending(c => c.Score).ToList();
// Merge detected tags from image analysis and image tags
analysisResult.Tags = tagsResult.Tags.Select(t => new ImageAnalysisTagResult {
Text = t.Name, Score = t.Confidence, Hint = t.Hint
}).ToList();
foreach (var t in visionApiResult.Description.Tags)
{
analysisResult.Tags.Add(new ImageAnalysisTagResult {
Text = t, Score = 0.0, Hint = string.Empty
});
}
analysisResult.Faces = visionApiResult.Faces.Select(f => new ImageAnalysisFaceResult {
Age = f.Age, Gender = f.Gender == "Male" ? Gender.Male : f.Gender == "female" ? Gender.Female : Gender.Unknown
}).ToList();
analysisResult.Text = ocrResult.Regions.Select(r => new ImageAnalysisTextResult()
{
Language = ocrResult.Language, Orientation = ocrResult.Orientation, TextAngle = ocrResult.TextAngle.GetValueOrDefault(), Text = string.Join(" ", r.Lines.Select(l => string.Join(" ", l.Words.Select(w => w.Text))))
}).ToList();
// Extend analysis by estimating reading time for each transcribed text
foreach (var text in analysisResult.Text)
{
text.WordCount = TextTokenizer.GetWordCount(text.Text);
text.ReadingTimeInMinutes = ReadingTimeEstimator.GetEstimatedReadingTime(text.WordCount, text.Language);
analysisResult.WatchingTimeInMinutes += text.ReadingTimeInMinutes;
}
// Add an additional default time for estimating how long it will take to the user to watch the picture
analysisResult.WatchingTimeInMinutes += DefaultImageWatchingTime;
}
catch (Exception ex)
{
Console.WriteLine($"\t\t\tContentAnalyzer.AnalyzeImageAsync(): an error occured while analyzing image - {ex.Message}");
}
return(analysisResult);
}