public async Task <SentimentBatchResult> RunSentimentAnalysisAsync(CidadaoModel cidadao)
{
var credentials = new ApiKeyServiceClientCredentials(key);
var client = new TextAnalyticsClient(credentials)
{
Endpoint = endpoint
};
// The documents to be analyzed. Add the language of the document. The ID can be any value.
var inputDocuments = new MultiLanguageBatchInput(
new List <MultiLanguageInput>
{
new MultiLanguageInput("1", cidadao.texto, "pt"),
});
var result = await client.SentimentBatchAsync(inputDocuments);
// Printing sentiment results
// Console.WriteLine("===== Sentiment Analysis =====\n");
//foreach (var document in result.Documents)
//{
// // Console.WriteLine($"Document ID: {document.Id} , Sentiment Score: {document.Score:0.00}");
//}
return(result);
}
public static async Task RunAsync(string endpoint, string key)
{
var credentials = new ApiKeyServiceClientCredentials(key);
var client = new TextAnalyticsClient(credentials)
{
Endpoint = endpoint
};
// The documents to be analyzed. Add the language of the document. The ID can be any value.
var inputDocuments = new MultiLanguageBatchInput(
new List <MultiLanguageInput>
{
new MultiLanguageInput("1", "I had the best day of my life.", "en"),
new MultiLanguageInput("2", "This was a waste of my time. The speaker put me to sleep.", "en"),
new MultiLanguageInput("3", "No tengo dinero ni nada que dar...", "es"),
new MultiLanguageInput("4", "L'hotel veneziano era meraviglioso. È un bellissimo pezzo di architettura.", "it"),
});
var result = await client.SentimentBatchAsync(inputDocuments);
// Printing sentiment results
Console.WriteLine("===== Sentiment Analysis =====\n");
foreach (var document in result.Documents)
{
Console.WriteLine($"Document ID: {document.Id} , Sentiment Score: {document.Score:0.00}");
}
Console.WriteLine();
}
private static async Task RunSentiment(TextAnalyticsClient client,
MultiLanguageBatchInput docs)
{
var res = await client.SentimentBatchAsync(docs);
foreach (var document in res.Documents)
{
Console.WriteLine($"Document ID: {document.Id}, " +
$"Sentiment Score: {document.Score:0.00}");
}
}
public string Analyze(string input)
{
ITextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials(_subscriptionKey))
{
Endpoint = $"https://{_region}.api.cognitive.microsoft.com"
};
SentimentBatchResult result = client.SentimentBatchAsync(
new MultiLanguageBatchInput(
SplitFiveHundredChars(input).ToList()
)).Result;
return($"{result.Documents[0].Score:0.00}");
}
/// <summary>
/// Adds sentiment to the given list and returns it.
/// </summary>
/// <param name="articles">Articles to enrich.</param>
/// <returns>Enriched list of articles.</returns>
async Task <List <Article> > AddSentiments(List <Article> articles)
{
// Ensure all required configuration information are available.
if (ANALYTICS_SUBSCRIPTION_KEY == string.Empty || ANALYTICS_ENDPOINT == string.Empty)
{
//throw new MissingMemberException("Azure analystics constants empty. Please set them.");
return(articles);
}
// Setup text analytics client.
var credentials = new ApiKeyServiceClientCredentials(ANALYTICS_SUBSCRIPTION_KEY);
TextAnalyticsClient client = new TextAnalyticsClient(credentials)
{
Endpoint = ANALYTICS_ENDPOINT
};
// Build batch inputs based on articles.
var batchInput = new MultiLanguageBatchInput
{
Documents = articles.Select(a => new MultiLanguageInput
{
Id = a.Guid,
Language = a.LanguageCode,
Text = a.Description
}).ToList()
};
// Get sentiment analytics from Azure.
var result = await client.SentimentBatchAsync(batchInput);
// If any error occures, return the non enriched article list.
if (result.Errors.Count > 0)
{
Console.WriteLine("An error occured");
return(articles);
}
// Enrich atricles with found sentiment score.
foreach (var document in result.Documents)
{
articles.First(a => a.Guid == document.Id).SentimentScore = document.Score ?? -1;
}
// Return enriched articles.
return(articles);
}
public static async Task TestTextAnalyticsApiKeyAsync(string key, string apiEndpoint)
{
bool isUri = !string.IsNullOrEmpty(apiEndpoint) ? Uri.IsWellFormedUriString(apiEndpoint, UriKind.Absolute) : false;
if (!isUri)
{
throw new ArgumentException("Invalid URI");
}
else
{
TextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials(key))
{
Endpoint = apiEndpoint
};
await client.SentimentBatchAsync(multiLanguageBatchInput :
new MultiLanguageBatchInput(
new List <MultiLanguageInput>()
{
new MultiLanguageInput("0", "I had the best day of my life.", "en"),
}));
}
}
private async void OnAnalyzeButtonClicked(object sender, RoutedEventArgs e)
{
Progress.IsActive = true;
Overlay.Visibility = Visibility.Visible;
Output.Items.Clear();
try
{
var hashtag = Hashtag.Text;
if (!hashtag.StartsWith("#"))
{
hashtag = "#" + hashtag;
}
// Get up to 99 tweets
Auth.SetUserCredentials(_consumerKey, _consumerSecret, _accessToken, _accessTokenSecret);
var parameters = new SearchTweetsParameters(hashtag);
//parameters.SearchType = SearchResultType.Recent;
parameters.SearchType = SearchResultType.Mixed;
parameters.MaximumNumberOfResults = 99;
IEnumerable <ITweet> tweets = null;
await Task.Run(() =>
{
tweets = Search.SearchTweets(parameters);
});
// Stop if no tweets were retrieved
if (tweets.Count() == 0)
{
await new MessageDialog("Hashtag not found", "Error").ShowAsync();
return;
}
// Clean the tweets, show them in the ListBox, and package them
// for the Text Analytics API
int id = 1;
List <MultiLanguageInput> input = new List <MultiLanguageInput>();
foreach (var tweet in tweets)
{
var text = Regex.Replace(tweet.Text, @"http[^\s]+", "").Replace("\"", "\\\"").Replace("\n", " ");
input.Add(new MultiLanguageInput((id++).ToString(), text));
Output.Items.Add(text);
}
var batch = new MultiLanguageBatchInput(input);
// Analyze the tweets for sentiment
TextAnalyticsClient client = new TextAnalyticsClient(
new ApiKeyServiceClientCredentials(_key),
new System.Net.Http.DelegatingHandler[] { }
);
client.Endpoint = _uri;
var results = await client.SentimentBatchAsync(batch);
Progress.IsActive = false;
Overlay.Visibility = Visibility.Collapsed;
// Show the average sentiment score for all tweets
var score = results.Documents.Select(x => x.Score).Average();
await new MessageDialog($"Sentiment: {score:F2}").ShowAsync();
}
catch (Exception ex)
{
Progress.IsActive = false;
Overlay.Visibility = Visibility.Collapsed;
await new MessageDialog(ex.Message).ShowAsync();
}
finally
{
Progress.IsActive = false;
Overlay.Visibility = Visibility.Collapsed;
}
}