public async Task SentimentPercentage(string input)
{
var document = new SentimentDocument()
{
Id = "1",
Text = input,
Language = "en"
};
var request = new SentimentRequest();
request.Documents.Add(document);
var client = new SentimentClient(System.Configuration.ConfigurationManager.AppSettings["apikey"]);
var response = await client.GetSentimentAsync(request);
float sum = 0, average = 0;
foreach (var doc in response.Documents)
{
sum += (doc.Score * 100);
}
average = sum / response.Documents.Count;
WriteNewLine("\n\nSentiment analysis value is {0}", average.ToString());
}
static void Main(string[] args)
{
var apiKey = "YOUR-TEXT-ANALYTICS-API-SUBSCRIPTION-KEY";
var document = new SentimentDocument()
{
Id = "YOUR-UNIQUE-ID",
Text = "YOUR-TEXT",
Language = "en"
};
var request = new SentimentRequest();
request.Documents.Add(document);
var client = new SentimentClient(apiKey);
var response = client.GetSentiment(request);
foreach (var doc in response.Documents)
{
Console.WriteLine(" Document Id: {0}", doc.Id);
Console.WriteLine(" Score: {0}%", (doc.Score * 100));
}
Console.WriteLine(" Press any key to exit...");
Console.ReadLine();
}
private async void Analyze_Text(object sender, RoutedEventArgs e)
{
this.Score = "";
try
{
var language = await GetLanguage();
var document = new SentimentDocument()
{
Id = Guid.NewGuid().ToString(), Text = this.InputText, Language = language
};
var request = new SentimentRequest();
request.Documents.Add(document);
MainWindow mainWindow = Window.GetWindow(this) as MainWindow;
var client = new SentimentClient(mainWindow._scenariosControl.SubscriptionKey);
MainWindow.Log("Request: Analyzing sentiment.");
var response = await client.GetSentimentAsync(request);
MainWindow.Log("Response: Success. Sentiment analyzed.");
var score = response.Documents[0].Score * 100;
this.Score = string.Format("{0}%", score);
}
catch (Exception ex)
{
MainWindow.Log(ex.Message);
}
}
private static string GetSentiment(string text)
{
try
{
double score = 0;
var apiKey = "Tu api key de azure cognitive service text"";
var document = new SentimentDocument()
{
Id = "OutlookSergio",
Text = text,
Language = "es"
};
var request = new SentimentRequest();
request.Documents.Add(document);
var client = new SentimentClient(apiKey);
var response = client.GetSentiment(request);
foreach (var doc in response.Documents)
{
score += doc.Score;
}
score = Math.Round((score / response.Documents.Count), 2) * 100;
return score + "%";
}
catch(Exception e)
{
return null;
}
}
public async Task <float> GetSentimentAnalysisAsync(string text)
{
var client = new SentimentClient(this.Settings.Text.Key1)
{
Url = this.Settings.Text.EndPoint
};
var document = new SentimentDocument
{
Id = Guid.NewGuid().ToString(),
Text = text,
Language = "en"
};
var request = new SentimentRequest
{
Documents = new List <IDocument> {
document
}
};
var response = await client.GetSentimentAsync(request);
// Only one document was sent, therefore only one result should be returned.
var result = response.Documents.FirstOrDefault();
if (result == null)
{
throw new ApplicationException("Text Analysis Failed.");
}
return(result.Score);
}
public async Task <float> MakeRequest(string text)
{
var language = await GetLanguage(text);
var document = new SentimentDocument()
{
Id = Guid.NewGuid().ToString(),
Text = text,
Language = language
};
var request = new SentimentRequest();
request.Documents.Add(document);
var client = new SentimentClient(_subKey)
{
Url = ConfigurationManager.AppSettings["TextSentimentServiceUrl"] + "/sentiment"
};
var response = await client.GetSentimentAsync(request);
var score = response.Documents[0].Score * 100;
return(score);
}
private async Task MessageReceivedAsync(IDialogContext context, IAwaitable <object> result)
{
var activity = await result as Activity;
var document = new SentimentDocument()
{
Id = "23",
Text = activity.Text,
Language = "en"
};
var request = new SentimentRequest();
request.Documents.Add(document);
var response = await _cognitiveClient.GetSentimentAsync(request);
var retrivedDocument = response.Documents.FirstOrDefault();
var sentimentScore = retrivedDocument.Score;
// calculate something for us to return
int length = (activity.Text ?? string.Empty).Length;
// return our reply to the user
await context.PostAsync($"You sent {activity.Text} which was {length} characters");
context.Wait(MessageReceivedAsync);
}
public static async Task AnalyzeSentimentAsync(string id, string text, string language)
{
var document = new SentimentDocument()
{
Id = id,
Text = text,
Language = language
};
var client = new SentimentClient(Constants.ApiKey)
{
Url = "https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0/sentiment"
};
var request = new SentimentRequest();
request.Documents.Add(document);
try
{
var response = await client.GetSentimentAsync(request);
foreach (var doc in response.Documents)
{
Console.WriteLine("Sentiment Score: {0}", doc.Score);
}
}
catch (Exception ex)
{
throw ex;
}
}
public void Validate_InvalidLanguage()
{
var text = "I had a wonderful experience! The rooms were wonderful and the staff were helpful.";
var doc = new SentimentDocument()
{
Id = "TEST001", Text = text, Language = "ja"
};
var request = new SentimentRequest();
request.Documents.Add(doc);
request.Validate();
}
public static float AnalyzeSentiment(string id, string text, string language)
{
float score = 0;
var document = new SentimentDocument()
{
Id = id,
Text = text,
Language = language
};
var client = new SentimentClient(Constants.ApiKey)
{
Url = "https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0/sentiment"
};
var request = new SentimentRequest();
request.Documents.Add(document);
try
{
var response = client.GetSentiment(request);
score = response.Documents.First().Score * 100;
}
catch (Exception ex)
{
var message = "";
var innerMessage = "";
if (!String.IsNullOrEmpty(ex.Message))
{
message = ex.Message;
}
try
{
if ((ex.InnerException != null) && (!String.IsNullOrEmpty(ex.InnerException.Message)))
{
innerMessage = ex.InnerException.Message;
}
}
catch (Exception innerEx)
{
if ((innerEx.InnerException != null) && (!String.IsNullOrEmpty(innerEx.InnerException.Message)))
{
innerMessage = innerEx.InnerException.Message;
}
}
Console.WriteLine(String.Format("Error in AnalyzeSentiment: {0}:{1}", message, innerMessage));
}
return(score);
}
static void Main(string[] args)
{
// MS Cognitive Services API key
var apiKeyTextAnalytics = "REPLACE_WITH_API_KEY";
var text = @"A thing of beauty is a joy for ever:
Its loveliness increases; it will never
Pass into nothingness; but still will keep
A bower quiet for us, and a sleep
Full of sweet dreams, and health, and quiet breathing.";
// GET text sentiment
var sentimentDocument = new SentimentDocument()
{
Id = "Sentiment",
Text = text,
Language = "en"
};
Console.WriteLine("Analyzing {0}", sentimentDocument.Id + "..");
var sentimentRequest = new SentimentRequest();
sentimentRequest.Documents.Add(sentimentDocument);
var sentimentClient = new SentimentClient(apiKeyTextAnalytics);
var sentimentResponse = sentimentClient.GetSentiment(sentimentRequest);
Console.WriteLine(" Score: {0}%", (sentimentResponse.Documents[0].Score * 100) + " [0% - negative, 100% - positive]");
// GET text keyphrases
var keyPhraseDocument = new KeyPhraseDocument()
{
Id = "KeyPhrases",
Text = text,
Language = "en"
};
Console.WriteLine("Recognizing {0}", keyPhraseDocument.Id + "..");
var keyPhraseRequest = new KeyPhraseRequest();
keyPhraseRequest.Documents.Add(keyPhraseDocument);
var keyPhraseClient = new KeyPhraseClient(apiKeyTextAnalytics);
var keyPhraseResponse = keyPhraseClient.GetKeyPhrases(keyPhraseRequest);
foreach (var keyPhrase in keyPhraseResponse.Documents[0].KeyPhrases)
{
Console.WriteLine(" KeyPhrase: {0}", keyPhrase);
}
}
public static float AnalyzeSentiment(string id, string text, string language)
{
float score = 0;
var document = new SentimentDocument()
{
Id = id,
Text = text,
Language = language
};
var client = new SentimentClient(Constants.API_KEY);
var request = new SentimentRequest();
request.Documents.Add(document);
try
{
var response = client.GetSentiment(request);
score = response.Documents.First().Score * 100;
}
catch (Exception ex)
{
var message = "";
var innerMessage = "";
if (!String.IsNullOrEmpty(ex.Message))
{
message = ex.Message;
}
try
{
if ((ex.InnerException != null) && (!String.IsNullOrEmpty(ex.InnerException.Message)))
{
innerMessage = ex.InnerException.Message;
}
}
catch (Exception innerEx)
{
if ((innerEx.InnerException != null) && (!String.IsNullOrEmpty(innerEx.InnerException.Message)))
{
innerMessage = innerEx.InnerException.Message;
}
}
//Console.WriteLine(String.Format("Error in AnalyzeSentiment: {0}:{1}", message, innerMessage));
}
return(score);
}
public void Analyse(string gitPath)
{
var repo = OpenRepository(gitPath);
if (repo == null)
{
return;
}
System.Console.WriteLine("OK");
var commits = repo.Commits.Where(c => !c.Message.StartsWith("Merge")).Take(20);
if (commits.Count() == 0)
{
System.Console.WriteLine("-- No data --");
}
var request = new SentimentRequest();
foreach (var commit in commits)
{
var document = new SentimentDocument()
{
Id = commit.Id.Sha,
Text = commit.Message,
Language = "en"
};
request.Documents.Add(document);
}
var apiKey = System.Configuration.ConfigurationManager.AppSettings["ApiKey"];
var client = new SentimentClient(apiKey);
var response = client.GetSentiment(request);
var scores = new List <float>();
foreach (var doc in response.Documents)
{
scores.Add(doc.Score);
System.Console.WriteLine($"Id: {doc.Id} | Score: {(doc.Score * 100)}%");
if (doc.Score < 0.3 || 0.8 < doc.Score)
{
System.Console.WriteLine($"\t --> {request.Documents.FirstOrDefault(d => d.Id == doc.Id).Text}");
}
}
System.Console.WriteLine($"Average score: {(scores.Average() * 100)}");
}
public static async Task <float?> GetSentiment(string text)
{
var sentimentDocument = new SentimentDocument {
Id = "1", Text = text
};
var sentimentRequest = new SentimentRequest {
Documents = new List <IDocument> {
{ sentimentDocument }
}
};
var sentimentResults = await SentimentClient.GetSentimentAsync(sentimentRequest);
var documentResult = sentimentResults.Documents.FirstOrDefault();
return(documentResult?.Score);
}
private static int count = 1; // count to keep the ID
// This methods perform the text analysis and return the score
public static async Task <string> TextAnalysis(string message)
{
client = new SentimentClient(ConfigurationManager.AppSettings["TextAnalyticsApiKey"]); // my API Key
var request = new SentimentRequest();
count++; // increment
var text = new SentimentDocument()
{
Id = count.ToString(),
Text = message,
Language = "en"
};
request.Documents.Add(text);
var response = ((await client.GetSentimentAsync(request)).Documents.FirstOrDefault()).Score; // retrieve the score
return(string.Format("{0:N2}", response)); // return the result in string (2 Decimal Place)
}
public void GetSentiment_Positive()
{
var text = "I had a wonderful experience! The rooms were wonderful and the staff were helpful.";
var doc = new SentimentDocument()
{
Id = "TEST001", Text = text, Language = "en"
};
var request = new SentimentRequest();
request.Documents.Add(doc);
var client = new SentimentClient(this.apiKey);
var response = client.GetSentiment(request);
var score = response.Documents[0].Score;
Assert.IsTrue(score > 0.5);
}
private static async Task RunSentimentAnalysis()
{
Console.ForegroundColor = ConsoleColor.Gray;
Console.WriteLine("Begining sentiment analysis ({0})", DateTime.Now.ToString());
var client = new SentimentClient(textAnalyticsApiKey);
foreach (var conversation in conversations)
{
foreach (var message in conversation.Messages)
{
try
{
var document = new SentimentDocument()
{
Id = message.Id.ToString(),
Text = message.Text,
Language = message.Metadata.LanguageName
};
var request = new SentimentRequest();
request.Documents.Add(document);
var response = await client.GetSentimentAsync(request);
message.Metadata.SentimentScore = response.Documents[0].Score;
Console.Write("Conversation {0} | Message {1} | Sentiment Score {2}", conversation.Id, message.Id, message.Metadata.SentimentScore);
}
catch (Exception ex)
{
Console.ForegroundColor = ConsoleColor.Red;
Console.WriteLine();
Console.WriteLine("Exception encountered ({0})", DateTime.Now.ToString());
Console.WriteLine("Conversation {0} | Message {1}", conversation.Id, message.Id);
Console.WriteLine(ex.Message);
}
}
}
Console.WriteLine("Sentiment analysis complete ({0})", DateTime.Now.ToString());
Console.WriteLine();
}
public void GetSentiment_Negative()
{
var text = "I had a terrible time at the hotel. The staff were rude and the food was awful.";
var doc = new SentimentDocument()
{
Id = "TEST001", Text = text, Language = "en"
};
var request = new SentimentRequest();
request.Documents.Add(doc);
var client = new SentimentClient(this.apiKey);
var response = client.GetSentiment(request);
var score = response.Documents[0].Score;
Assert.IsTrue(score < 0.5);
}
private async void Get_Sentiment(string text, string lastNTest)
{
try
{
var document = new SentimentDocument()
{
Id = Guid.NewGuid().ToString(), Text = text, Language = "en"
};
var lastNDocument = new SentimentDocument()
{
Id = Guid.NewGuid().ToString(), Text = lastNTest, Language = "en"
};
var request = new SentimentRequest();
request.Documents.Add(document);
request.Documents.Add(lastNDocument);
MainWindow mainWindow = Window.GetWindow(this) as MainWindow;
var client = new SentimentClient(mainWindow._scenariosControl.SubscriptionKey);
var response = await client.GetSentimentAsync(request);
Log("Response: Success. Sentiment analyzed.");
var score = response.Documents[0].Score * 100;
var lastNScore = response.Documents[1].Score * 100;
((MainWindow)Application.Current.MainWindow)._scenariosControl.LogSentiment(string.Format("Last sentence: {0}%\nLast {1} sentences: {2}%", score, SENTENCE_LIMIT, lastNScore));
if (sendToPBICheckbox.IsChecked == true)
{
//post(sentimentUrl, "[" + json + "]");
string json = JsonConvert.SerializeObject(new { dt = (DateTime.UtcNow.ToString("s") + "Z"), sentence = text, sentiment_Nlast = score, average_sentiment = lastNScore });
Thread myNewThread = new Thread(() => post(sentimentUrl, "[" + json + "]"));
myNewThread.Start();
}
}
catch (Exception ex)
{
MainWindow.Log(ex.Message);
}
}
static void AppendChapter(ref SentimentRequest request, EpubChapter chapter)
{
HtmlDocument htmlDocument = new HtmlDocument();
htmlDocument.LoadHtml(chapter.HtmlContent);
StringBuilder sb = new StringBuilder();
foreach (HtmlNode node in htmlDocument.DocumentNode.SelectNodes("//text()"))
{
sb.AppendLine(node.InnerText.Trim());
}
string chapterText = sb.ToString();
int maxCharacters = 3 * 1024; //Max characters that we will send to sentiment API
int chunks = (int)Math.Ceiling((double)chapterText.Length / (double)maxCharacters);
int charsPerChunk = (int)Math.Ceiling((double)chapterText.Length / (double)chunks);
int offset = 0;
for (int i = 0; i < chunks; ++i)
{
if (offset + charsPerChunk > chapterText.Length)
{
charsPerChunk = chapterText.Length - offset;
}
var testText = chapterText.Substring(offset, charsPerChunk);
string chunkID = "CHUNKDOCUMENT" + i;
var doc = new SentimentDocument()
{
Id = chunkID, Text = testText, Language = "en"
};
request.Documents.Add(doc);
offset += charsPerChunk;
}
}
private static void GetSentiment()
{
var client = new SentimentClient(apiKey);
var request = new SentimentRequest();
var document = new SentimentDocument()
{
Id = "YOUR-UNIQUE-ID",
Text = "YOUR-TEXT",
Language = "en"
};
request.Documents.Add(document);
var response = client.GetSentiment(request);
foreach (var doc in response.Documents)
{
Console.WriteLine(" Document Id: {0}", doc.Id);
Console.WriteLine(" Score: {0}%", (doc.Score * 100));
}
}
public async Task MessageReceivedAsync(IDialogContext context, IAwaitable <IMessageActivity> argument)
{
var message = await argument;
var document = new SentimentDocument()
{
Id = "123",
Text = message.Text,
Language = "en"
};
var request = new SentimentRequest();
request.Documents.Add(document);
var response = await _cognitiveClient.GetSentimentAsync(request);
var retrievedDocument = response.Documents.FirstOrDefault();
var sentimentScore = retrievedDocument.Score;
await context.PostAsync(message.From.Name + " sentiment for your sentence is: " + sentimentScore + "%");
context.Wait(MessageReceivedAsync);
}
