please follow the instructions ..i added the term_data.txt screenshot so that it would be easier for you to see it then make the txt file from your own PC.. please   modify this code to calculate idf, and therefore tf-idf, using this new formula. Hint: You may need to include a new header file to make this work!    #include #include int main() {     int termCount = 5; // Number of times the term appears in the document     int totalWordCount = 100; // Total number of words in the document      int docCount = 10; // Number of documents containing the term     int totalDocCount = 1000; // Total number of documents      // Calculate term frequency (tf)     double tf = (double) termCount / totalWordCount;     // Calculate inverse document frequency (idf)     double idf = log((double) totalDocCount / docCount);     // Calculate term frequency - inverse document frequency (tf-idf)     double tfidf = tf * idf;     std::cout << "TF: " << tf << std::endl; // Output the term frequency     std::cout << "IDF: " << idf << std::endl; // Output the inverse document frequency     std::cout << "TF-IDF: " << tfidf << std::endl; // Output the tf-idf value     return 0; // Return 0 for successful execution

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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please follow the instructions ..i added the term_data.txt screenshot so that it would be easier for you to see it then make the txt file from your own PC.. please 

 modify this code to calculate idf, and therefore tf-idf, using this new formula.

Hint: You may need to include a new header file to make this work! 

 

#include <iostream>
#include <cmath>

int main() {
    int termCount = 5; // Number of times the term appears in the document
    int totalWordCount = 100; // Total number of words in the document 
    int docCount = 10; // Number of documents containing the term
    int totalDocCount = 1000; // Total number of documents 

    // Calculate term frequency (tf)
    double tf = (double) termCount / totalWordCount;

    // Calculate inverse document frequency (idf)
    double idf = log((double) totalDocCount / docCount);

    // Calculate term frequency - inverse document frequency (tf-idf)
    double tfidf = tf * idf;

    std::cout << "TF: " << tf << std::endl; // Output the term frequency
    std::cout << "IDF: " << idf << std::endl; // Output the inverse document frequency
    std::cout << "TF-IDF: " << tfidf << std::endl; // Output the tf-idf value

    return 0; // Return 0 for successful execution
}

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