NLP Revolution in Education Feedback Analysis: Trends and Challenges

Year : 2023 | Volume : 01 | Issue : 01 | Page : 21-25
By

    Maina Changeriwal

  1. Vidhik Sharma

  2. Suhana Arif

  3. Lalit Kumar

  4. Madhur Bharadwaj

  1. Assistant Professor, Department of Information Technology, Poornima College of Engineering, Jaipur, Rajasthan, India
  2. Student, Department of Information Technology, Poornima College of Engineering, Jaipur, Rajasthan, India
  3. Student, Department of Information Technology, Poornima College of Engineering, Jaipur, Rajasthan, India
  4. Student, Department of Information Technology, Poornima College of Engineering, Jaipur, Rajasthan, India
  5. Student, Department of Information Technology, Poornima College of Engineering, Jaipur, Rajasthan, India

Abstract

Artificial Intelligence (AI) is a rapidly growing area of study in many domains like research and business. Various subsets of AI, such as Machine Learning, Deep Learning, and Natural Language Processing (NLP), are employed to address diverse aspects of data processing and modeling. This review is about the impact of AI on the education system and students feedback for the analysis is required for the enhancement of the technology used in the educational domain. To get this feedback NLP is used to get information about the educational domain. Indeed, understanding domain-specific languages like sarcasm, emoticons, and other forms of nuanced expressions through Natural Language Processing (NLP) has posed significant challenges. These complexities arise due to the non-literal nature of these language elements, making them difficult for traditional NLP techniques to accurately interpret. However, researchers have recognized the importance of capturing these subtleties in educational contexts and have explored various methodologies to overcome these obstacles.

Keywords: Artificial Intelligence, NLP, Deep Learning, Education, Medical Education

[This article belongs to International Journal of Wireless Security and Networks(ijwsn)]

How to cite this article: Maina Changeriwal, Vidhik Sharma, Suhana Arif, Lalit Kumar, Madhur Bharadwaj NLP Revolution in Education Feedback Analysis: Trends and Challenges ijwsn 2023; 01:21-25
How to cite this URL: Maina Changeriwal, Vidhik Sharma, Suhana Arif, Lalit Kumar, Madhur Bharadwaj NLP Revolution in Education Feedback Analysis: Trends and Challenges ijwsn 2023 {cited 2023 Aug 07};01:21-25. Available from: https://journals.stmjournals.com/ijwsn/article=2023/view=116612

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Regular Issue Subscription Review Article
Volume 01
Issue 01
Received July 13, 2023
Accepted July 18, 2023
Published August 7, 2023