using Azure;

using Azure.AI.TextAnalytics;

using System;

using System.Collections.Generic;

using System.Linq;

​

class Program

{

    private static readonly AzureKeyCredential credentials = new AzureKeyCredential("c813f3176d41490cb4dc912d7724ad7e");

    private static readonly Uri endpoint = new Uri("https://ecd-connect-ai.cognitiveservices.azure.com/");

​

    private static TextAnalyticsClient AuthenticateClient()

    {

        return new TextAnalyticsClient(endpoint, credentials);

    }

​

    static void Main(string[] args)

    {

        var client = AuthenticateClient();

        //string question = "How can I reset my password?";

        string question = "What food does your child like to eat?";

        List<string> questionsList = new List<string>

        {

            /*

            "How do I reset my password?",

            "How to change my account password?",

            "What is the process to recover my password?",

            "How to reset the password?"

            */

//General Well-Being

"How is your child doing overall?",

"How would you describe your child’s mood and behavior lately?",

"Are there any recent changes in your child's behavior or routine?",

//Physical Health

"How is your child’s general health?",

"Has your child had any recent illnesses or injuries?",

"Is your child up to date with their vaccinations?",

//Nutrition and Eating Habits

"How would you describe your child’s eating habits?",

"Are there any foods your child particularly likes or dislikes?",

"Do you have any concerns about your child’s nutrition?",

        };

​

        var similarQuestions = FindSimilarQuestions(client, question, questionsList);

        Console.WriteLine("Input question: {0}", question);

        Console.WriteLine();

        //Console.WriteLine("Results");

        foreach (var q in similarQuestions)

        {

            Console.WriteLine("{0}   ||   {1}    ||   {2}", q.Question, q.KeyPhrases.FirstOrDefault(), q.Similarity);

        }

    }

​

    static List<Result> FindSimilarQuestions(TextAnalyticsClient client, string question, List<string> questionsList)

    {

        var documentBatch = new List<string> { question };

        documentBatch.AddRange(questionsList);

​

        var response = client.ExtractKeyPhrasesBatch(documentBatch);

        // Console.WriteLine("Responses {0}", response.Value.Count);

        var results = new List<Result>();

        var qIndex = 0;

        foreach (var resp in response.Value)

        {

            var q = documentBatch[qIndex];

            //Console.WriteLine("{0} | {1}", q, resp.KeyPhrases.FirstOrDefault());

            results.Add(new Result()

                        {

                            AskQuestion = qIndex == 0,

                            Question = q,

                            KeyPhrases = resp.KeyPhrases,

                            Similarity = 0

                        });

            qIndex++;

        }

        var askQuestionResult = results[0];

        results = results.Where(r => !r.AskQuestion).ToList();

​

        foreach (var result in results)

        {

            result.Similarity = CalculateSimilarity(askQuestionResult.KeyPhrases, result.KeyPhrases);

        }

​

        return results.OrderByDescending(r => r.Similarity).ToList();

    }

​

    static double CalculateSimilarity(IReadOnlyCollection<string> keyPhrases1, IReadOnlyCollection<string> keyPhrases2)

    {

        if (!keyPhrases1.Any() || !keyPhrases2.Any())

            return 0.0;

​

        var intersection = keyPhrases1.Intersect(keyPhrases2).Count();

        var union = keyPhrases1.Union(keyPhrases2).Count();

​

        return (double)intersection / union;

    }

}

​

public class Result

{

    public bool AskQuestion;

    public string Question;

    public KeyPhraseCollection KeyPhrases;

    public double Similarity;

}