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Sustainable governance in smart cities and use of supervised learning based opinion mining

机译:智能城市可持续治理与监督学习型矿业的利用

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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.
机译:评价是一个分析和有组织的过程,以解决目前的积极影响,有利的未来前景,现有的任何计划,方案,实践或政策的现有缺点和别事复杂性。对政策的评估是衡量计划的绩效或进展所需的重要和重要过程。政策评估的主要目的是赋予各种利益攸关方,并加强其社会经济环境。政府鉴于公民福利,政府推出了大量政策或计划。虽然,政府政策打算更好地塑造人们的生活质量,但也可能影响他们每一天的生命。 2017年印度政府推出的最新政府计划Saubhagya通过应用意见采矿技术来评估。 Twitter捕获了与该方案相关的公众舆论集。主要意图是提供意见挖掘作为智能城市技术,该技术利用用户生成的大数据并分析它以提供可持续的治理模型。

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