/// <summary>
/// Initiates the asynchronous execution of the DetectSentiment operation.
/// </summary>
///
/// <param name="request">Container for the necessary parameters to execute the DetectSentiment operation.</param>
/// <param name="cancellationToken">
/// A cancellation token that can be used by other objects or threads to receive notice of cancellation.
/// </param>
/// <returns>The task object representing the asynchronous operation.</returns>
/// <seealso href="http://docs.aws.amazon.com/goto/WebAPI/comprehend-2017-11-27/DetectSentiment">REST API Reference for DetectSentiment Operation</seealso>
public virtual Task <DetectSentimentResponse> DetectSentimentAsync(DetectSentimentRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
{
var marshaller = DetectSentimentRequestMarshaller.Instance;
var unmarshaller = DetectSentimentResponseUnmarshaller.Instance;
return(InvokeAsync <DetectSentimentRequest, DetectSentimentResponse>(request, marshaller,
unmarshaller, cancellationToken));
}
public async Task <int> GetSentimentAsIntAsync(string messageText)
{
var request = new DetectSentimentRequest()
{
Text = messageText, LanguageCode = LanguageCode.En
};
var sentiment = await _awsComprehendClient.DetectSentimentAsync(request);
return(ParseSentimentToInt(sentiment));
}
public async Task <DetectSentimentResponse> GetSentiment(string text, DominantLanguage language)
{
var request = new DetectSentimentRequest()
{
Text = text,
LanguageCode = language.LanguageCode
};
var response = await _Client.DetectSentimentAsync(request);
return(response);
}
public async Task <float> AnalyzePositivityAsync(string message)
{
var analyzeRequest = new DetectSentimentRequest()
{
LanguageCode = LanguageCode.En,
Text = message
};
var response = await this.comprehend.DetectSentimentAsync(analyzeRequest);
return(response.SentimentScore.Positive);
}
public async Task <DetectSentimentResponse> DetermineSentiment(string text)
{
// Call DetectKeyPhrases API
DetectSentimentRequest detectSentimentRequest = new DetectSentimentRequest()
{
Text = text,
LanguageCode = "en"
};
DetectSentimentResponse detectSentimentResponse = await config.AzComprehendClient.DetectSentimentAsync(detectSentimentRequest);
return(detectSentimentResponse);
}
public static void Sample()
{
String text = "It is raining today in Seattle";
var comprehendClient = new AmazonComprehendClient(Amazon.RegionEndpoint.USWest2);
// Call DetectKeyPhrases API
Console.WriteLine("Calling DetectSentiment");
var detectSentimentRequest = new DetectSentimentRequest()
{
Text = text,
LanguageCode = "en"
};
var detectSentimentResponse = comprehendClient.DetectSentiment(detectSentimentRequest);
Console.WriteLine(detectSentimentResponse.Sentiment);
Console.WriteLine("Done");
}
/// <summary>
/// This method calls the DetetectSentimentAsync method to analyze the
/// supplied text and determine the overal sentiment.
/// </summary>
public static async Task Main()
{
string text = "It is raining today in Seattle";
var comprehendClient = new AmazonComprehendClient(Amazon.RegionEndpoint.USWest2);
// Call DetectKeyPhrases API
Console.WriteLine("Calling DetectSentiment");
var detectSentimentRequest = new DetectSentimentRequest()
{
Text = text,
LanguageCode = "en",
};
var detectSentimentResponse = await comprehendClient.DetectSentimentAsync(detectSentimentRequest);
Console.WriteLine($"Sentiment: {detectSentimentResponse.Sentiment}");
Console.WriteLine("Done");
}
static void Main(string[] args)
{
String text = ExtFunc.Read("Input a text to Sentiment-Analysation i.E \"That was a nice trip. The Hotel was amazing!\"");
AmazonComprehendClient comprehendClient = new AmazonComprehendClient(
Amazon.RegionEndpoint.USEast1);
// Call DetectKeyPhrases API
Console.WriteLine("Calling DetectSentiment");
DetectSentimentRequest detectSentimentRequest = new DetectSentimentRequest()
{
Text = text,
LanguageCode = "en"
};
DetectSentimentResponse detectSentimentResponse = comprehendClient.DetectSentiment(detectSentimentRequest);
Console.WriteLine(detectSentimentResponse.Sentiment);
Console.WriteLine("Done");
}
private async Task <string> GetComprehendData(string transcriptText, string key)
{
JObject transcriptJSON = JObject.Parse(transcriptText);
string test = (string)transcriptJSON["Text"];
AmazonComprehendClient client = new AmazonComprehendClient();
DetectEntitiesRequest entitiesRequest = new DetectEntitiesRequest();
entitiesRequest.LanguageCode = LanguageCode.En;
entitiesRequest.Text = test;
DetectSentimentRequest sentimentRequest = new DetectSentimentRequest();
sentimentRequest.LanguageCode = LanguageCode.En;
sentimentRequest.Text = test;
DetectKeyPhrasesRequest keyPhrasesRequest = new DetectKeyPhrasesRequest();
keyPhrasesRequest.LanguageCode = LanguageCode.En;
keyPhrasesRequest.Text = test;
DetectEntitiesResponse entitiesResponse = await client.DetectEntitiesAsync(entitiesRequest);
DetectSentimentResponse setimentResponse = await client.DetectSentimentAsync(sentimentRequest);
DetectKeyPhrasesResponse keyPhrasesResponse = await client.DetectKeyPhrasesAsync(keyPhrasesRequest);
CreateKeyPhraseCSV(key, keyPhrasesResponse);
CreateSetimentJSON(key, setimentResponse);
//now send the file to s3
//we need to write two different files, one for setiment and one for Key Phrases.
return(string.Empty);
}
private static string DetectSentiment(string text, AmazonComprehendClient comprehendClient)
{
var stringBuilder = new StringBuilder();
var detectSentimentRequest = new DetectSentimentRequest()
{
Text = text,
LanguageCode = "en"
};
var detectSentimentResponse = comprehendClient.DetectSentiment(detectSentimentRequest);
stringBuilder.AppendLine("Detect Sentiment:");
stringBuilder.AppendLine("==========================");
stringBuilder.AppendLine(detectSentimentResponse.Sentiment);
Console.WriteLine("DetectSentiment => Done\n");
return(stringBuilder.ToString());
}
protected override async Task <bool> HandleMessage(DiscordMessage discordMessage)
{
logger.LogInformation($"Getting 10 messages before {discordMessage.Id}");
IReadOnlyList <DiscordMessage> messages = await discordMessage.Channel.GetMessagesAsync(10, before : discordMessage.Id);
logger.LogInformation($"Got {messages.Count} messages before {discordMessage.Id}");
string text = messages
.Select(m => m.Content)
.Aggregate("", (acc, value) => acc + "\n" + value);
DetectSentimentRequest detectSentimentRequest = new DetectSentimentRequest();
detectSentimentRequest.LanguageCode = "en";
detectSentimentRequest.Text = text;
logger.LogInformation($"Calling AWS::Comprehend with {messages.Count} messages and total text length {text.Length}");
DetectSentimentResponse detectSentimentResponse = await AmazonComprehendClient.DetectSentimentAsync(detectSentimentRequest);
logger.LogInformation($"Called AWS::Comprehend with {messages.Count} messages");
if (detectSentimentResponse.HttpStatusCode != System.Net.HttpStatusCode.OK)
{
return(false);
}
await metrics.AddCounter("Discord.SentimentScore.Positive", detectSentimentResponse.SentimentScore.Positive);
await metrics.AddCounter("Discord.SentimentScore.Negative", detectSentimentResponse.SentimentScore.Negative);
await metrics.AddCounter("Discord.SentimentScore.Mixed", detectSentimentResponse.SentimentScore.Mixed);
await metrics.AddCounter("Discord.SentimentScore.Neutral", detectSentimentResponse.SentimentScore.Neutral);
await metrics.AddCounter($"Discord.Sentiment.{detectSentimentResponse.Sentiment.Value}", 1);
return(true);
}
