/// <summary>
/// Obtains sentiment of the passed review
/// </summary>
/// <param name="review"></param>
/// <returns></returns>
public static dynamic GetSentimentAnalysisOfReviewsFromParallelDots(String review)
{
String parallelDotsApiKey = ConfigReader.ReadApiKey();
paralleldots pd = new paralleldots(parallelDotsApiKey);
dynamic sentimentOfAnimeReviews;
sentimentOfAnimeReviews = JObject.Parse(pd.sentiment(review));
return(sentimentOfAnimeReviews);
}
public ActionResult FeedbackFormView([Bind(Include = "DeveloperId,SubtaskId,FeedbackStr,Positivity")] Feedback feedback)
{
Db_1Entities db = new Db_1Entities();
if (ModelState.IsValid)
{
paralleldots pd = new paralleldots("qZA1qGaGDNNbSUGiNSEOpBjxZreiijYM7y77VLCrlvw");
var sentiment = pd.sentiment(feedback.FeedbackStr);
var objects = JObject.Parse(sentiment);
var posprob = objects["probabilities"]["positive"].ToString();
feedback.Positivity = Double.Parse(posprob);
db.Feedbacks.Add(feedback);
db.SaveChanges();
return(RedirectToAction("FeedbackFormView"));
}
return(View(feedback));
}
/// <summary>
/// https://user.apis.paralleldots.com/
/// Key:82ByzdYGAOwfVQwLoF76lcj1BgqbYQ2FMwd37BU0BbU
/// this api is free for a month
/// return keywords from the above api
/// </summary>
/// <returns>an array of all the keywords</returns>
private string KeyWordsAPI(string phraseToAnalise)
{
if (String.IsNullOrEmpty(phraseToAnalise) || String.IsNullOrWhiteSpace(phraseToAnalise))
{
//no phrase to analise return empty
return("");
}
// Initialize instance of api class
paralleldots pd = new paralleldots("82ByzdYGAOwfVQwLoF76lcj1BgqbYQ2FMwd37BU0BbU");
// for single sentences
String keywords = pd.keywords(phraseToAnalise);
return(keywords);
//// for multiple sentence
//JArray text_list = JArray.Parse("[\"" + phraseToAnalise + "\"]");
//String keywords_batch = pd.keywords_batch(text_list);
//return keywords_batch;
}
public ActionResult <bool> EvaluateStudents([FromBody] List <Evaluation> evaluations)
{
var dao = new EvaluationsDao();
Directory.CreateDirectory(STUDENT_ANS_SHEET_UPLOAD_PATH);
foreach (var e in evaluations)
{
Console.WriteLine("-------------------------------------------------------");
Console.WriteLine($"Student Id {e.Student.Id}");
Console.WriteLine($"DateTime {e.DateTime?.ToString("yyyy-MM-dd")}");
var date = e.DateTime?.ToString("yyyy_MM_dd");
var fileName = $"AnswerKey_Student_{e.Student.Id}_{e.Examination.Course.CourseCode}_{date}.pdf";
var filePath = Path.Combine(STUDENT_ANS_SHEET_UPLOAD_PATH, fileName);
var bytes = Convert.FromBase64String(e.AnswerSheet);
System.IO.File.WriteAllBytes(filePath, bytes);
Console.WriteLine("File Written");
var refSheetName =
e.Examination.ReferenceAnswerSheet.Substring(
e.Examination.ReferenceAnswerSheet.LastIndexOf("/") + 1);
var refSheetPath = Path.Combine(REFERENCE_ANS_SHEET_UPLOAD_PATH, refSheetName);
Console.WriteLine($"Ref Sheet Path = {refSheetPath}");
var studentPdf = new PdfFocus();
Console.WriteLine($"Opening Student Pdf...");
studentPdf.OpenPdf(filePath);
var studentAnsText = studentPdf.ToText();
Console.WriteLine("Student pdf read successfully!");
studentPdf.ClosePdf();
Console.WriteLine("Closing student pdf");
var refPdf = new PdfFocus();
Console.WriteLine("Opening reference pdf");
refPdf.OpenPdf(refSheetPath);
var refAnsText = refPdf.ToText();
Console.WriteLine("Reference pdf read successfully!");
refPdf.ClosePdf();
Console.WriteLine("Closing reference pdf");
paralleldots pd = new paralleldots("AliC73YnPPScR8dJJEMD8qxinhFTTUjFPmJGs5yknY0");
Console.WriteLine("Calculating score");
var similarity = pd.similarity(studentAnsText, refAnsText);
var json = JsonValue.Parse(similarity);
var score = double.Parse(json["normalized_score"].ToString());
Console.WriteLine($"Score = {score}");
var percent = score / 5.0;
Console.WriteLine($"Percentage = {percent}");
e.MarksObtained = (int?)(e.Examination.TotalMarks * percent);
e.AnswerSheet = $"/api/examinations/student-ans-sheet/get/{fileName}";
Console.WriteLine("Writing result to database");
dao.CreateEvaluation(e);
Console.WriteLine("Written Successfully!");
}
return(true);
}
