public Analyzer(string xml)
{
ITextAnalyticsAPI client = Program.Client();
string xmlString = xml;
Console.OutputEncoding = System.Text.Encoding.UTF8;
Console.WriteLine("\n\n####TEXT ANALYSIS####");
KeyPhraseBatchResult analysis = client.KeyPhrases(
new MultiLanguageBatchInput(
new List <MultiLanguageInput>()
{
new MultiLanguageInput("en", "1", xmlString),
}));
foreach (var item in analysis.Documents)
{
Console.WriteLine("Document ID: {0}", item.Id);
Console.WriteLine("\t Key phrases");
foreach (string keyphrase in item.KeyPhrases)
{
Console.WriteLine(keyphrase);
phrases = item.KeyPhrases;
}
}
Sentiment(phrases);
Recommendations(phrases);
}
public SentimentAnalysis()
{
client = new TextAnalyticsAPI();
client.AzureRegion = AzureRegions.Westeurope;
client.SubscriptionKey = "98ce8da3795c4ea5b943468ec801eb2e"; //уникальний ключ сервіса
}
private static void KeyPhrases(ITextAnalyticsAPI client)
{
// Getting key-phrases
Console.WriteLine("\n\n===== KEY-PHRASE EXTRACTION ======");
var inputs2 = new List <MultiLanguageInput>()
{
new MultiLanguageInput("zh", "1", "我的兔子花花好可爱."),
new MultiLanguageInput("de", "2", "Fahrt nach Stuttgart und dann zum Hotel zu Fu."),
new MultiLanguageInput("en", "3", "My cat is stiff as a rock."),
new MultiLanguageInput("es", "4", "A mi me encanta el fútbol!")
};
KeyPhraseBatchResult result2 = client.KeyPhrases(new MultiLanguageBatchInput(inputs2));
// Printing keyphrases
foreach (var document in result2.Documents)
{
Console.WriteLine("Document ID: {0} ", document.Id);
Console.WriteLine("\t Key phrases:");
foreach (string keyphrase in document.KeyPhrases)
{
Console.WriteLine("\t\t" + keyphrase);
}
Console.WriteLine($"Text: {inputs2.FirstOrDefault(i => i.Id == document.Id).Text}");
Console.WriteLine();
}
}
public CognitiveServiceHandler()
{
// initialize client
_client = new TextAnalyticsAPI();
_client.AzureRegion = AzureRegions.Westcentralus;
_client.SubscriptionKey = SUBSCRIPTION_KEY;
}
public TextAnalyticsBL()
{
// Create a client.
client = new TextAnalyticsAPI();
client.AzureRegion = AzureRegions.Westcentralus;
client.SubscriptionKey = "6499bf6efdbe41a18c7ebbd41d870777";
}
private static void SentimentConsoleInput(ITextAnalyticsAPI client)
{
// Extracting sentiment
Console.WriteLine("\n\n===== SENTIMENT ANALYSIS CONSOLE INPUT ======");
var canBreak = false;
for (; ;)
{
Console.WriteLine("Please type your comment and press 'Enter', 'Q' or 'q' to exit.");
var input = Console.ReadLine();
canBreak = input.Equals("q", StringComparison.OrdinalIgnoreCase);
if (canBreak)
{
Console.WriteLine("Exit.");
break;
}
SentimentBatchResult result = client.Sentiment(new MultiLanguageBatchInput(new List <MultiLanguageInput> {
new MultiLanguageInput()
{
Id = DateTimeOffset.UtcNow.ToFileTime().ToString(),
Text = input
}
}));
foreach (var document in result.Documents)
{
Console.WriteLine($"Document ID: {document.Id} , Sentiment Score: {document.Score:0.00} , Text: {input}");
}
Console.WriteLine();
}
}
public TextEmotionService()
{
client = new TextAnalyticsAPI
{
AzureRegion = AzureRegions.Westcentralus,
SubscriptionKey = APIKEY
};
}
public MicrosoftTextAnalytics(string key)
{
_AnalyticsClient = new TextAnalyticsAPI
{
AzureRegion = AzureRegions.Westus,
SubscriptionKey = key
};
}
public TextAnalytics()
{
_client = new TextAnalyticsAPI()
{
AzureRegion = AzureRegions.Westus,
SubscriptionKey = "094adce6de9f4237875c0103f846c468"
};
}
private static DetectedLanguage GetFirstDetectedLanguage(string description, ITextAnalyticsAPI client)
{
var result = client.DetectLanguage(new BatchInput(new List <Input> {
new Input("1", description)
}));
return(result.Documents.First().DetectedLanguages.First());
}
public TextAnalyticsWrapper(string subscriptionKey, AzureRegions region)
{
if (string.IsNullOrWhiteSpace(subscriptionKey))
{
throw new ArgumentNullException(nameof(subscriptionKey));
}
_client = _client = new TextAnalyticsAPI(new ApiKeyServiceClientCredentials(subscriptionKey));
_client.AzureRegion = region;
}
public Sentiment(IList <string> phraseList)
{
Console.WriteLine("\n\n####SENTIMENT SCORE####");
ITextAnalyticsAPI client = Client();
double? sentiment = new double?();
SentimentBatchResult sentimentScore = client.Sentiment(
new MultiLanguageBatchInput(
new List <MultiLanguageInput>()
{
new MultiLanguageInput("en", "1"),
}));
foreach (var item in sentimentScore.Documents)
{
Console.WriteLine("Document ID: {0}", "Sentiment Score: {1:0.00}", item.Id);
Console.WriteLine(item.Score);
sentiment = item.Score;
}
;
}
public SentimentAnalysis()
{
var regionName = ConfigurationManager.AppSettings["TextAnalyticsApiRegion"];
var subscriptionKey = ConfigurationManager.AppSettings["TextAnalyticsApiKey"];
var validRegion = Enum.TryParse(regionName, out AzureRegions region);
if (string.IsNullOrEmpty(subscriptionKey) || !validRegion)
{
throw new Exception("Unable to create Sentiment Analysis Client - check the region and subscription key");
}
var client = new TextAnalyticsAPI
{
AzureRegion = region,
SubscriptionKey = subscriptionKey
};
_client = client;
}
private static void DetectLanguage(ITextAnalyticsAPI client)
{
// Extracting language
Console.WriteLine("===== LANGUAGE EXTRACTION ======");
var inputs1 = new List <Input>()
{
new Input("1", "This is a document written in English."),
new Input("2", "C'est un fichier écrit en français."),
new Input("3", "这是一个用中文写的文件")
};
LanguageBatchResult result = client.DetectLanguage(new BatchInput(inputs1));
// Printing language results.
foreach (var document in result.Documents)
{
Console.WriteLine($"Document ID: {document.Id} , Language: {document.DetectedLanguages[0].Name} , Text: {inputs1.FirstOrDefault(i => i.Id == document.Id).Text}");
}
}
internal async Task <KeyPhraseBatchResult> GetKeyPhraseCall(List <Input> list,
IList <LanguageBatchResultItem> documents,
ITextAnalyticsAPI client)
{
string textid = "";
string textlang = "";
string textval = "";
List <MultiLanguageInput> keyphraselist = new List <MultiLanguageInput>();
for (int i = 0; i < documents.Count; i++)
{
textid = documents[i].Id;
textlang = documents[i].DetectedLanguages[0].Iso6391Name;
textval = list.Where(t => t.Id == i.ToString()).FirstOrDefault().Text;
keyphraselist.Add(new MultiLanguageInput()
{
Id = textid, Text = textval, Language = textlang
});
}
return(await KeyPhraseCall(client, keyphraselist));
}
private static void Sentiment(ITextAnalyticsAPI client)
{
// Extracting sentiment
Console.WriteLine("\n\n===== SENTIMENT ANALYSIS ======");
var inputs3 = new List <MultiLanguageInput>()
{
new MultiLanguageInput("en", "0", "I had the best day of my life."),
new MultiLanguageInput("en", "1", "This was a waste of my time. The speaker put me to sleep."),
new MultiLanguageInput("fr", "2", "lol, eh qu'on a pas fini de passer à la caisse!"),
new MultiLanguageInput("es", "3", "No tengo dinero ni nada que dar..."),
new MultiLanguageInput("it", "4", "L'hotel veneziano era meraviglioso. È un bellissimo pezzo di architettura."),
};
SentimentBatchResult result3 = client.Sentiment(new MultiLanguageBatchInput(inputs3));
// Printing sentiment results
foreach (var document in result3.Documents)
{
Console.WriteLine($"Document ID: {document.Id} , Sentiment Score: {document.Score:0.00} , Text: {inputs3.FirstOrDefault(i => i.Id == document.Id).Text}");
}
}
public async Task <DetectedLanguage> Execute(ITextAnalyticsAPI client)
{
var id = Guid.NewGuid().ToString();
var input = new Input(id, text);
var documents = new List <Input> {
input
};
var batchInput = new BatchInput(documents);
var result = await client.DetectLanguageAsync(batchInput);
// More than one language could be matched at the same max score...
// this can cause some confusion
var detectedLanguages = result.Documents.First()
.DetectedLanguages;
var detectedLanguage = detectedLanguages.Where(dl => dl.Score.HasValue &&
new[] { "en", "fr" }.Contains(dl.Iso6391Name))
.OrderByDescending(dl => dl.Score)
.FirstOrDefault();
return(detectedLanguage);
}
public TextAnalysisControl()
{
InitializeComponent();
client = new TextAnalyticsAPI();
client.AzureRegion = AzureRegions.Westeurope;
}
internal async Task <LanguageBatchResult> DetectLangCall(ITextAnalyticsAPI client, List <Input> list)
{
return(await client.DetectLanguageAsync(
new BatchInput(list)));
}
public SentimentService(Secrets secrets)
{
this.secrets = secrets;
this.client = new TextAnalyticsAPI(new ApiKeyServiceClientCredentials(secrets.AzureSentimentKey));
this.client.AzureRegion = AzureRegions.Westus2;
}
public TextAnalysis()
{
client = new TextAnalyticsAPI();
client.AzureRegion = AzureRegions.Eastus2;
client.SubscriptionKey = "xxxxxxxxxxxxxxxxxxxxxxxx";
}
/// <summary>
/// Called when a final response is received;
/// </summary>
/// <param name="sender">The sender.</param>
/// <param name="e">The <see cref="SpeechResponseEventArgs"/> instance containing the event data.</param>
private void OnMicShortPhraseResponseReceivedHandler(object sender, SpeechResponseEventArgs e)
{
Dispatcher.Invoke((Action)(() =>
{
this.WriteLine("--- OnMicShortPhraseResponseReceivedHandler ---");
// we got the final result, so it we can end the mic reco. No need to do this
// for dataReco, since we already called endAudio() on it as soon as we were done
// sending all the data.
this.micClient.EndMicAndRecognition();
this.WriteResponseResult(e);
_startButton.IsEnabled = true;
_radioGroup.IsEnabled = true;
if (e.PhraseResponse == null || e.PhraseResponse.Results.Length <= 0)
{
return;
}
//call sentiment analysis
if (this.textAnalyticsClient == null)
{
this.textAnalyticsClient = new TextAnalyticsAPI();
this.textAnalyticsClient.AzureRegion = AzureRegions.Southeastasia;
this.textAnalyticsClient.SubscriptionKey = "<yourkey>";
Console.WriteLine("api init done");
}
SentimentBatchResult result3 = this.textAnalyticsClient.Sentiment(
new MultiLanguageBatchInput(
new List <MultiLanguageInput>()
{
new MultiLanguageInput("en", "0", e.PhraseResponse.Results[0].DisplayText),
}));
// Printing sentiment results
foreach (var document in result3.Documents)
{
//this.WriteLine("Document ID: {0} , Sentiment Score: {1:0.00}", document.Id, document.Score);
//string.Format("{0:P2}", document.Score)
String sentiment = "";
if (document.Score > 0 && document.Score < 0.1)
{
sentiment = "Dissatisfied";
this.WriteKnowledgeBaseLine("Please re-assure the customer that they are important. Check about exact customer requirements and offer to check with supervisor.");
}
else if (document.Score >= 0.1 && document.Score < 0.6)
{
sentiment = "Neutral";
}
else if (document.Score >= 0.6 && document.Score < 0.8)
{
sentiment = "Positive";
}
else if (document.Score >= 0.8 && document.Score < 1)
{
sentiment = "Delighted";
}
Dispatcher.Invoke(() =>
{
_SentimentText.Text = sentiment + " - " + string.Format("{0:P2}", document.Score);
});
}
}));
}
internal async Task <KeyPhraseBatchResult> KeyPhraseCall(ITextAnalyticsAPI client, List <MultiLanguageInput> list)
{
return(await client.KeyPhrasesAsync(
new MultiLanguageBatchInput(list)));
}
public CognitiveServices()
{
_client = Initializeclient();
}
public TextAnalysisService(TextAnalyticsAPI textAnalyticsAPI, IList <MultiLanguageInput> multiLanguageInput, IList <AnalysisResult> analysisResults)
{
_textAnalyticsAPI = textAnalyticsAPI;
_multiLanguageInput = multiLanguageInput;
_analysisResults = analysisResults;
}
internal async Task <SentimentBatchResult> SentimentCall(ITextAnalyticsAPI client, List <MultiLanguageInput> list)
{
return(await client.SentimentAsync(
new MultiLanguageBatchInput(list)));
}
