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());
}
private void DetectLanguage(string userInput)
{
LanguageBatchResult language = client.DetectLanguage(new BatchInput(new List <Input> {
new Input("1", userInput)
}));
foreach (LanguageBatchResultItem document in language.Documents)
{
Console.WriteLine("Inserted text is written in {0} language.\n", document.DetectedLanguages[0].Name);
}
}
public string GetLanguage(string text)
{
LanguageBatchResult result = _AnalyticsClient.DetectLanguage(
new BatchInput(
new List <Input>()
{
new Input("1", text)
}));
if (result.Documents.Any())
{
return(result.Documents.First().DetectedLanguages.First().Iso6391Name);
}
return("en");
}
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}");
}
}
public TranslatedItem DetectLanguage(String wordToDetect)
{
LanguageBatchResult result = _client.DetectLanguage(
new BatchInput(
new List <Input>()
{
new Input("1", wordToDetect)
}));
// transform the results into a recognizeable model
TranslatedItem word = new TranslatedItem {
OrignalWord = wordToDetect, DetectedLanguage = result.Documents[0].DetectedLanguages[0].Name, NonEnglishWord = false, ISOName = result.Documents[0].DetectedLanguages[0].Iso6391Name
};
if (result.Documents[0].DetectedLanguages[0].Name != "English")
{
word.NonEnglishWord = true;
}
return(word);
}
public TextAnalyticsModel TextAnalysis(string value)
{
TextAnalyticsModel objTextAnalyticsModel = new TextAnalyticsModel();
// Extracting language
//"===== LANGUAGE EXTRACTION ======");
LanguageBatchResult result = client.DetectLanguage(
new BatchInput(
new List <Input>()
{
new Input("1", value)
})
);
StringBuilder strbld = new StringBuilder();
string Language = string.Empty;
var allCultures = CultureInfo.GetCultures(CultureTypes.AllCultures);
string TwoLetterISOLanguageName = string.Empty;
// Printing language results.
foreach (var document in result.Documents)
{
//strbld.Append(" Language: " + document.DetectedLanguages[0].Name);
Language = document.DetectedLanguages[0].Name;
objTextAnalyticsModel.Language = document.DetectedLanguages[0].Name;
TwoLetterISOLanguageName = allCultures.FirstOrDefault(c => c.DisplayName == Language).Name;
}
// Getting key-phrases
//Console.WriteLine("\n\n===== KEY-PHRASE EXTRACTION ======");
KeyPhraseBatchResult result2 = client.KeyPhrases(
new MultiLanguageBatchInput(
new List <MultiLanguageInput>()
{
new MultiLanguageInput(TwoLetterISOLanguageName, "1", value)
}));
// Printing keyphrases
foreach (var document in result2.Documents)
{
// strbld.Append(" Key Phrases: ");
foreach (string keyphrase in document.KeyPhrases)
{
strbld.Append(keyphrase + ", ");
//Console.WriteLine("\t\t" + keyphrase);
objTextAnalyticsModel.KeyPhrases = strbld.ToString();
}
}
// Extracting sentiment
//Console.WriteLine("\n\n===== SENTIMENT ANALYSIS ======");
SentimentBatchResult result3 = client.Sentiment(
new MultiLanguageBatchInput(
new List <MultiLanguageInput>()
{
new MultiLanguageInput(TwoLetterISOLanguageName, "0", value)
}));
// Printing sentiment results
foreach (var document in result3.Documents)
{
//Console.WriteLine("Document ID: {0} , Sentiment Score: {1:0.00}", document.Id, document.Score);
strbld.Append(" Sentiment Score: " + document.Score);
objTextAnalyticsModel.SentimentScore = document.Score.ToString();
}
return(objTextAnalyticsModel);
}
public LanguageBatchResult DetectLanguage(List <Input> data)
{
return(_client.DetectLanguage(new BatchInput(data)));
}
