首页    期刊浏览 2024年09月20日 星期五
登录注册

文章基本信息

  • 标题:Sustainable governance in smart cities and use of supervised learning based opinion mining
  • 本地全文:下载
  • 作者:Hena Iqbal ; Sujni Paul ; Khaliquzzaman Khan
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2021
  • 卷号:11
  • 期号:1
  • 页码:498
  • DOI:10.11591/ijece.v11i1.pp498-497
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要:Evaluation is an analytical and organized process to figure out the present positive influences, favourable future prospects, existing shortcomings and ulterior complexities of any plan, program, practice or a policy. Evaluation of policy is an essential and vital process required to measure the performance or progression of the scheme. The main purpose of policy evaluation is to empower various stakeholders and enhance their socio-economic environment. A large number of policies or schemes in different areas are launched by government in view of citizen welfare. Although, the governmental policies intend to better shape up the life quality of people but may also impact their every day’s life. A latest governmental scheme Saubhagya launched by Indian government in 2017 has been selected for evaluation by applying opinion mining techniques. The data set of public opinion associated with this scheme has been captured by Twitter. The primary intent is to offer opinion mining as a smart city technology that harness the user-generated big data and analyse it to offer a sustainable governance model.
国家哲学社会科学文献中心版权所有