Classify Text with Sentiment Analysis using a REST API in C#

SentimentAnalysis_CSharp

1. Sentiment Analysis of Documents using a REST API in C#
2. Classify Text with Sentiment Analysis using a REST API in C#
3. Classify Batch of Text with Sentiment Analysis using a REST API in C#

SentimentAnalysis_CSharp_ClassifyBatchText.cs

// api initialization
var apiInstance = new ClassificationApi(configuration);

// create batch text request
var batchRequest = new BatchRequest
{
    Batch = new List<string> { { "Now that is out of the way, this thing is a beast. It is fast and runs cool." },
        { "Experience is simply the name we give our mistakes" },
        { "When I used compressed air a cloud of dust bellowed out from the card (small scuffs and scratches)." },
        { "This is Pathetic." },
        { "Excellent work done!" }
    }
};

// create classify batch request
var request = new ClassifyBatchRequest(batchRequest, taxonomy: "sentiment");

// get classification results
var response = apiInstance.ClassifyBatch(request);

// show results
for (int x=0; x<response.Results.Count; x++)
{
    var res = response.Results[x];
    Console.WriteLine("Text : " + batchRequest.Batch[x]);
    Console.WriteLine("ClassName : " + res.BestClassName);
    Console.WriteLine("ClassProbability : " + res.BestClassProbability);
    Console.WriteLine("--------------------------------");
}

SentimentAnalysis_CSharp_ClassifyDocuments.cs

// api initialization
var apiInstance = new ClassificationApi(configuration);

// create base request
BaseRequest baseRequest = new BaseRequest();
baseRequest.Document = new GroupDocs.Classification.Cloud.Sdk.Model.FileInfo()
{
    Name = "sample.docx",
    Folder = ""
};

// create classification request
var request = new ClassifyRequest(baseRequest);

// sentiment analysis taxonomy
request.Taxonomy = "sentiment3";

// get classification results
ClassificationResponse response = apiInstance.Classify(request);

// show results
foreach(var r in response.BestResults)
{
    Console.WriteLine("ClassName :" + r.ClassName);
    Console.WriteLine("ClassProbability :" + r.ClassProbability);
    Console.WriteLine("--------------------------------");
}

SentimentAnalysis_CSharp_ClassifyText.cs

// api initialization
var apiInstance = new ClassificationApi(configuration);

// create base request
BaseRequest baseRequest = new BaseRequest();
baseRequest.Description = "We support some of the most popular file formats in business, "
    + "including Microsoft Word documents, Excel spreadsheets, PowerPoint presentations, "
    + "Outlook emails and archives, Visio diagrams, Project files, and Adobe Acrobat PDF documents..";

// create classification request
var request = new ClassifyRequest(baseRequest);
request.Taxonomy = "sentiment3";

// get classification results
var response = apiInstance.Classify(request);

// show results
foreach (var r in response.BestResults)
{
    Console.WriteLine("ClassName : " + r.ClassName);
    Console.WriteLine("ClassProbability : " + r.ClassProbability);
    Console.WriteLine("--------------------------------");
}

SentimentAnalysis_CSharp_Configurations.cs

var configuration = new Configuration();
configuration.ClientId = "659fe7da-715b-4744-a0f7-cf469a392b73";
configuration.ClientSecret = "b377c36cfa28fa69960ebac6b6e36421";

SentimentAnalysis_CSharp_Upload.cs

// api initialization
var apiInstance = new FileApi(configuration);

// open file in IOStream
var fileStream = File.Open("C:\\Files\\Classification\\sample.docx", FileMode.Open);

// create file upload request
var request = new UploadFileRequest("sample.docx", fileStream, "");

// upload file
var response = apiInstance.UploadFile(request);