public static List <SentimentResults> analyseSentimentScore()
{//https://docs.microsoft.com/en-us/azure/cognitive-services/Text-Analytics/quickstarts/csharp
// Create a client.
ITextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials())
{
Endpoint = "https://westeurope.api.cognitive.microsoft.com"
//https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0
}; //Replace 'westus' with the correct region for your Text Analytics subscription
Console.OutputEncoding = System.Text.Encoding.UTF8;
// Extracting sentiment
Console.WriteLine("\n\n===== SENTIMENT ANALYSIS ======");
SentimentBatchResult result3 = client.SentimentAsync(
new MultiLanguageBatchInput(
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("es", "2", "No tengo dinero ni nada que dar..."),
new MultiLanguageInput("it", "3", "L'hotel veneziano era meraviglioso. È un bellissimo pezzo di architettura."),
})).Result;
// Printing sentiment results
List <SentimentResults> scores = new List <SentimentResults>();
foreach (var document in result3.Documents)
{
//Console.WriteLine("Document ID: {0} , Sentiment Score: {1:0.00}", document.Id, document.Score);
SentimentResults results = new SentimentResults();
results.setTweet_id(Int32.Parse(document.Id));
results.setSenti_score(document.Score.HasValue ? document.Score.Value : 0);
scores.Add(results);
}
return(scores);
}
public List <SentimentResults> extractingLanguage(List <DB_Service.CrimeTweets> crimeTweets)
{
// Create a client.---------------------------------------------------------------------------------------------------------------------------------
ITextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials())
{
Endpoint = "https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0/"
};
System.Console.OutputEncoding = System.Text.Encoding.UTF8;
// Extracting language.---------------------------------------------------------------------------------------------------------------------------------
Console.WriteLine("===== LANGUAGE EXTRACTION ======");
List <Input> myInp = new List <Input>();
foreach (DB_Service.CrimeTweets ct in crimeTweets)
{
Input inp = new Input(ct.tweet_id.ToString(), ct.message);
myInp.Add(inp);
}
var result = client.DetectLanguageAsync(new BatchInput(myInp)).Result;
// Printing language results.
List <SentimentResults> tweetLangs = new List <SentimentResults>();
foreach (var document in result.Documents)
{
SentimentResults tl = new SentimentResults();
tl.language_short = document.DetectedLanguages[0].Iso6391Name;
tl.tweet_id = Int32.Parse(document.Id);
tl.language = document.DetectedLanguages[0].Name;
tweetLangs.Add(tl);
}
return(tweetLangs);
}
public static List <SentimentResults> analyseLanguageUsed()
{//https://docs.microsoft.com/en-us/azure/cognitive-services/Text-Analytics/quickstarts/csharp
// Create a client.
ITextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials())
{
Endpoint = "https://westeurope.api.cognitive.microsoft.com"
//https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0
}; //Replace 'westus' with the correct region for your Text Analytics subscription
Console.OutputEncoding = System.Text.Encoding.UTF8;
// Extracting language
Console.WriteLine("===== LANGUAGE EXTRACTION ======");
var result = client.DetectLanguageAsync(new BatchInput(
new List <Input>()
{
new Input("1", "This is a document written in English."),
new Input("2", "Este es un document escrito en Español."),
new Input("3", "这是一个用中文写的文件")
})).Result;
List <SentimentResults> tweetLangs = new List <SentimentResults>();
// Printing language results.
foreach (var document in result.Documents)
{
SentimentResults sr = new SentimentResults();
sr.setTweet_id(Int32.Parse(document.Id));
sr.setLanguage_short(document.DetectedLanguages[0].Iso6391Name);
sr.setLanguage(document.DetectedLanguages[0].Name);
tweetLangs.Add(sr);
}
return(tweetLangs);
}
//public List<SentimentResults> extractingKeyPhrases(List<GuestGeek_DBService.CrimeTweets> crimeTweets)
//{
// // Create a client.---------------------------------------------------------------------------------------------------------------------------------
// ITextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials())
// {
// Endpoint = "https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0/"
// };
// System.Console.OutputEncoding = System.Text.Encoding.UTF8;
// // Getting key phrases.---------------------------------------------------------------------------------------------------------------------------------
// Console.WriteLine("\n\n===== KEY-PHRASE EXTRACTION ======");
// List<MultiLanguageInput> keyPhrases = new List<MultiLanguageInput>();
// foreach (GuestGeek_DBService.CrimeTweets ct in crimeTweets)
// {
// MultiLanguageInput inp = new MultiLanguageInput(;
// myInp.Add(inp);
// }
// KeyPhraseBatchResult result2 = client.KeyPhrasesAsync(new MultiLanguageBatchInput(
// new List<MultiLanguageInput>()
// {
// new MultiLanguageInput("ja", "1", "猫は幸せ"),
// 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!")
// })).Result;
// // Printing key phrases.
// 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);
// }
// }
//}
//static async void MakeRequest()
//{
// var client = new HttpClient();
// var queryString = HttpUtility.ParseQueryString(string.Empty);
// // Request headers
// client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", TwitterKeys.getTextAnalyticsKey());
// var uri = "https://westus.api.cognitive.microsoft.com/text/analytics/v2.0/languages?" + queryString;
// HttpResponseMessage response;
// // Request body
// byte[] byteData = Encoding.UTF8.GetBytes("{body}");
// using (var content = new ByteArrayContent(byteData))
// {
// content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
// response = await client.PostAsync(uri, content);
// }
//}
public List <SentimentResults> fullAnalysis(List <DB_Service.CrimeTweets> crimeTweets)
{
// Create a client.---------------------------------------------------------------------------------------------------------------------------------
ITextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials())
{
Endpoint = "https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0/"
};
System.Console.OutputEncoding = System.Text.Encoding.UTF8;
// Extracting language.---------------------------------------------------------------------------------------------------------------------------------
Console.WriteLine("===== LANGUAGE EXTRACTION ======");
List <Input> myInp = new List <Input>();//Languages
foreach (DB_Service.CrimeTweets ct in crimeTweets)
{
//Sentiment.Sentiment.sanitize(ct.message);
Input inp = new Input(ct.tweet_id.ToString(), ct.message);
myInp.Add(inp);
}
LanguageBatchResult result = null;
try
{
result = client.DetectLanguageAsync(new BatchInput(myInp)).Result;
//Task.Run(() => client.DetectLanguageAsync(new BatchInput(myInp)).Result).Wait();
}
catch (AggregateException aex)
{
string messages = "";
foreach (Exception ex in aex.InnerExceptions)
{
messages += ex.Message + "\r\n";
}
Debug.WriteLine(messages);
}
// Printing language results.
List <SentimentResults> tweetLangs = new List <SentimentResults>();//Language
foreach (var document in result.Documents)
{
SentimentResults tr = new SentimentResults();
tr.language_short = document.DetectedLanguages[0].Iso6391Name;
tr.tweet_id = Int32.Parse(document.Id);
tr.language = document.DetectedLanguages[0].Name;
tweetLangs.Add(tr);
}
// Getting key phrases.---------------------------------------------------------------------------------------------------------------------------------
Console.WriteLine("\n\n===== KEY-PHRASE EXTRACTION ======");
List <MultiLanguageInput> keyPhrases = new List <MultiLanguageInput>();//Key phrases
int count = 0;
foreach (DB_Service.CrimeTweets ct in crimeTweets)
{
string tempLang = tweetLangs.ElementAt <SentimentResults>(count).language_short;
MultiLanguageInput inp = new MultiLanguageInput(tempLang, ct.tweet_id.ToString(), ct.message);
keyPhrases.Add(inp);
count++;
}
KeyPhraseBatchResult result2 = client.KeyPhrasesAsync(new MultiLanguageBatchInput(keyPhrases)).Result;
// Printing key phrases.
List <string> phrases = new List <string>();
List <SentimentResults> tweetKeyPhrases = new List <SentimentResults>();
count = 0;
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);
phrases.Add(keyphrase);
}
SentimentResults sr = new SentimentResults();
sr = tweetLangs.ElementAt <SentimentResults>(count);
sr.keyPhrases = phrases;
tweetKeyPhrases.Add(sr);
count++;
}
// Analyzing sentiment.---------------------------------------------------------------------------------------------------------------------------------
Console.WriteLine("\n\n===== SENTIMENT ANALYSIS ======");
List <MultiLanguageInput> sentiAni = new List <MultiLanguageInput>();//Sentiment Analysis
count = 0;
foreach (DB_Service.CrimeTweets ct in crimeTweets)
{
string tempLang = tweetKeyPhrases.ElementAt <SentimentResults>(count).language_short;
MultiLanguageInput inp = new MultiLanguageInput(tempLang, ct.tweet_id.ToString(), ct.message);
sentiAni.Add(inp);
count++;
}
SentimentBatchResult result3 = client.SentimentAsync(new MultiLanguageBatchInput(sentiAni)).Result;
// Printing sentiment results.
List <SentimentResults> tweetSentiments = new List <SentimentResults>();
count = 0;
foreach (var document in result3.Documents)
{
//Console.WriteLine("Document ID: {0} , Sentiment Score: {1:0.00}", document.Id, document.Score);
SentimentResults sr = new SentimentResults();
sr = tweetKeyPhrases.ElementAt <SentimentResults>(count);
sr.senti_score = (double)document.Score;
tweetSentiments.Add(sr);
count++;
}
List <DB_Service.Sentiments> completeSentiments = new List <DB_Service.Sentiments>();
foreach (SentimentResults finalResults in tweetSentiments)
{
DB_Service.Sentiments newSenti = new DB_Service.Sentiments();
newSenti.tweet_id = finalResults.tweet_id;
newSenti.sentiment_total = finalResults.senti_score;
newSenti.category_primary = finalResults.language + ", " + finalResults.language_short;
StringBuilder wholePhrase = new StringBuilder("");
count = 0;
foreach (String word in finalResults.keyPhrases)
{
count++;
if (finalResults.keyPhrases.Count > count)
{
wholePhrase.Append(word + ",");
}
else
{
wholePhrase.Append(word);
}
}
completeSentiments.Add(newSenti);
}
DB_Service.ServiceClient service = new DB_Service.ServiceClient();
service.addSentiments(completeSentiments);
return(tweetSentiments);
// Linking entities---------------------------------------------------------------------------------------------------------------------------------
//Console.WriteLine("\n\n===== ENTITY LINKING ======");
//EntitiesBatchResult result4 = client.EntitiesAsync(
// new MultiLanguageBatchInput(
// new List<MultiLanguageInput>()
// {
// new MultiLanguageInput("en", "0", "I really enjoy the new XBox One S. It has a clean look, it has 4K/HDR resolution and it is affordable."),
// new MultiLanguageInput("en", "1", "The Seattle Seahawks won the Super Bowl in 2014."),
// })).Result;
//// Printing entity results.
//foreach (var document in result4.Documents)
//{
// Console.WriteLine("Document ID: {0} , Entities: {1}", document.Id, String.Join(", ", document.Entities.Select(entity => entity.Name)));
//}
}
public static List <SentimentResults> fullAnalysis(List <DB_Service.CrimeTweets> crimeTweets)
{//-------------------------------------------------------------------------------------------------------------------------------------
// Create a client.
ITextAnalyticsClient client = new TextAnalyticsClient(new ApiKeyServiceClientCredentials())
{
Endpoint = "https://westeurope.api.cognitive.microsoft.com"
//https://westeurope.api.cognitive.microsoft.com/text/analytics/v2.0
};
//-------------------------------------------------------------------------------------------------------------------------------------
// Extracting language
List <SentimentResults> tweetLangs = new List <SentimentResults>();
List <Input> myInp = new List <Input>();
foreach (DB_Service.CrimeTweets ct in crimeTweets)
{
Input inp = new Input(ct.tweet_id.ToString(), ct.message);
SentimentResults sr = new SentimentResults();
sr.setTweet_id(ct.tweet_id);
tweetLangs.Add(sr);
myInp.Add(inp);
}
var result = client.DetectLanguageAsync(new BatchInput(myInp)).Result;
// Printing language results.
int count = 0;
foreach (var document in result.Documents)
{
SentimentResults sr = new SentimentResults();
sr = tweetLangs.ElementAt <SentimentResults>(count);
sr.setLanguage_short(document.DetectedLanguages[0].Iso6391Name);
sr.setLanguage(document.DetectedLanguages[0].Name);
tweetLangs.Add(sr);
if ((count + 1) != tweetLangs.Count)
{
count++;
}
}
//-------------------------------------------------------------------------------------------------------------------------------------
// Getting key-phrases
List <MultiLanguageInput> keyPhrases = new List <MultiLanguageInput>();//Key phrases
count = 0;
foreach (DB_Service.CrimeTweets ct in crimeTweets)
{
string tempLang = tweetLangs.ElementAt <SentimentResults>(count).getLanguage_short();
MultiLanguageInput inp = new MultiLanguageInput(tempLang, ct.tweet_id.ToString(), ct.message);
keyPhrases.Add(inp);
if ((count + 1) != tweetLangs.Count)
{
count++;
}
}
//new List<MultiLanguageInput>()
// {
// new MultiLanguageInput("ja", "1", "猫は幸せ"),
// 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!")
// })).Result;
KeyPhraseBatchResult result2 = client.KeyPhrasesAsync(new MultiLanguageBatchInput(keyPhrases)).Result;
// Printing keyphrases
List <SentimentResults> tweetKeyPhrases = new List <SentimentResults>();
count = 0;
foreach (var document in result2.Documents)
{
List <string> phrases = new List <string>();
foreach (string keyphrase in document.KeyPhrases)
{
phrases.Add(keyphrase);
}
SentimentResults sr = new SentimentResults();
sr = tweetLangs.ElementAt <SentimentResults>(count);
sr.setKeyPhrases(phrases);
tweetKeyPhrases.Add(sr);
if ((count + 1) != tweetLangs.Count)
{
count++;
}
}
//-------------------------------------------------------------------------------------------------------------------------------------
// Getting Sentiment Analysis
List <MultiLanguageInput> sentiAni = new List <MultiLanguageInput>();//Sentiment Analysis
count = 0;
foreach (DB_Service.CrimeTweets ct in crimeTweets)
{
string tempLang = tweetKeyPhrases.ElementAt <SentimentResults>(count).getLanguage_short();
MultiLanguageInput inp = new MultiLanguageInput(tempLang, ct.tweet_id.ToString(), ct.message);
sentiAni.Add(inp);
if ((count + 1) != tweetKeyPhrases.Count)
{
count++;
}
}
SentimentBatchResult result3 = client.SentimentAsync(new MultiLanguageBatchInput(sentiAni)).Result;
// Printing sentiment results
List <SentimentResults> tweetSentiments = new List <SentimentResults>();
count = 0;
foreach (var document in result3.Documents)
{
SentimentResults sr = new SentimentResults();
sr = tweetKeyPhrases.ElementAt <SentimentResults>(count);
sr.setSenti_score((double)document.Score);
tweetSentiments.Add(sr);
if ((count + 1) != tweetKeyPhrases.Count)
{
count++;
}
}
//-------------------------------------------------------------------------------------------------------------------------------------
// Getting Entities
//Continue using the same list so languages wont change
EntitiesBatchResult result4 = client.EntitiesAsync(new MultiLanguageBatchInput(sentiAni)).Result;
// Printing entities results
List <SentimentResults> tweetEntities = new List <SentimentResults>();
count = 0;
foreach (var document in result4.Documents)
{
List <string> entitiySet = new List <string>();
foreach (EntityRecord entitiy in document.Entities)
{
entitiySet.Add(entitiy.Name);
}
SentimentResults sr = new SentimentResults();
sr = tweetSentiments.ElementAt <SentimentResults>(count);
sr.setEntities(entitiySet);
tweetEntities.Add(sr);
if ((count + 1) != tweetSentiments.Count)
{
count++;
}
}
//-------------------------------------------------------------------------------------------------------------------------------------
//Add Data to Database Service
List <DB_Service.Sentiments> completeSentiments = new List <DB_Service.Sentiments>();
List <DB_Service.Entities> completeEntities = new List <DB_Service.Entities>();
foreach (SentimentResults finalResults in tweetEntities)
{
//Start building Sentiment class
DB_Service.Sentiments newSenti = new DB_Service.Sentiments();
newSenti.tweet_id = finalResults.getTweet_id();
newSenti.sentiment_total = finalResults.getSenti_score();
newSenti.category_primary = finalResults.getLanguage() + ", " + finalResults.getLanguage_short();
List <string> entList = finalResults.getEntities();
List <string> phraseList = finalResults.getKeyPhrases();
StringBuilder wholePhrase = new StringBuilder("");
count = 0;
//Start building Entity Class
if (entList != null && entList.Count > 0)
{
foreach (string entity in entList)
{
wholePhrase.Append(entity + ",");
//DB_Service.Entities newEntity = new DB_Service.Entities();
//newEntity.name = entity;
//newEntity.sentiment_id = -1//this is a programming design problem
}
}
if (phraseList != null && phraseList.Count > 0)
{
foreach (string word in phraseList)
{
count++;
if (phraseList.Count > count)
{
wholePhrase.Append(word + ",");
}
else
{
wholePhrase.Append(word);
}
}
}
newSenti.key_phrases = wholePhrase.ToString();
//List<string> EntList = finalResults.getEntities();
//if(EntList != null && EntList.Count > 0)
//{
// //newSenti.category_primary = EntList.ElementAt<string>(0);
//}
//else
//{
// newSenti.category_primary = "";
//}
//Finish building Sentiment Class
completeSentiments.Add(newSenti);
}
//Add to service now
DB_Service.ServiceClient service = new DB_Service.ServiceClient();
service.addSentiments(completeSentiments);
return(tweetEntities);
}