Analysis of Government Flagship Programs using Public Feedbacks

In the last decades, a variety of government policies are introduced in the areas of teaching, healthcare, games, and social safety. The assessment and measuring of the impact of these programs on society is a difficult and tedious job. The real success of any of the government policies depends on how it makes a difference in public life. Citizen feedback on government policies plays an important role in deciding the success and failure of the scheme. In current times, the major concern is the unavailability of any digital medium to evaluate citizen feedback on various government programs. In this article, a government online platform is proposed in which citizens can provide their opinions about the functioning of various government programs. Along with this, the ministry of concern department is included to evaluate the public reviews to estimate the success or failure of the scheme. Feature-level sentiment analysis is performed on large public-produced reviews to find citizen overviews. Feature-level sentiment extraction was performed using a deep learning-based method to retrieve sentiments and feedback regarding various aspects mentioned in the reviews. The investigational findings were reviewed in the planned study to assess the effect of the public reviews’ feature-based analysis. The findings of this work can help individuals, companies, religious institutions, academics, or researchers as they think and rethink their decisions.