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Automatic Content Checker Using Unstructured Text Analysis

  • A. Dinesh Arokia Raj,
  • N. Kanya,
  • Dahlia Sam

摘要

In this Internet driven world, people can take up examinations online from any location. Since the test can be taken by numerous students at once and the results are shown immediately after the test, people can save more time and energy. IN the proposed model, the evaluation result will be automatically generated by the server. Here, the administrator will have the authority to add, edit, or delete exam papers and each question on them. The user can register, log in, take the test, and see the results using his special ID. This application’s primary benefit is its ability to repair anything from a single sentence to a paragraph with many lines. Educational institutions can prepare for exams, save time on paper checks, and confirm mark sheets with the use of the Student Information System. It will support the student testing and skill development institute. The proposed model utilises Java as the coding language, My SQL for database management, and Eclipse Oxygen as IDE. With the help of the keyword, the model will mine the words from the phrases present in the application’s text mining domain and fix the responses. The technology available today can only be used to fix a single word, but it will be improving it by including an algorithm known as support vector machine (SVM). As SVM learns on a dataset with predefined classifications for each item, it will evaluate, correct, and authenticate the paragraph scores.