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A Review on Public Acceptance Towards New Education Policy in India Based on Sentiment Analysis Using Machine Learning Approaches

  • Deepali Chaudhary,
  • Ritam Dutta,
  • Papri Ghosh

摘要

Education plays a pivotal role in the lives of individuals, as well as in the progress of nations and the global community. As the Information and Communication Technology (ICT) continuously advances and improves with each successive generation, education becomes the bedrock upon which the younger generation builds their future. In recognition of this, Government of India has formulated a new education policy in 2020. In line with this holistic development, we have steered a comprehensive study utilizing a diverse range of Machine Learning (ML) and Deep Learning (DL) algorithms to survey public Sentiment Analysis (SA) and their acceptance towards the National Education Policy (NEP) in India. Additionally, we have undertaken a detailed analysis of recent literature survey pertaining to the NEP, illustrated the research gap and finally conducted a comparative assessment of the findings. The accuracy has been recorded maximum at 94% using LSTM model in comparison of NB, SVM, KNN models.