文章基本信息

标题：Decision Support for E-Governance: A Text Mining Approach
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作者：G. Koteswara Rao ; Shubhamoy Dey
期刊名称：International Journal of Managing Information Technology
印刷版ISSN：0975-5926
电子版ISSN：0975-5586
出版年度：2011
卷号：3
期号：3
DOI：10.5121/ijmit.2011.330773
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Information and communication technology has the capability to improve the process by which governments involve citizens in formulating public policy and public projects. Even though much of government regulations may now be in digital form (and often available online), due to their complexity and diversity, identifying the ones relevant to a particular context is a non-trivial task. Similarly, with the advent of a number of electronic online forums, social networking sites and blogs, the opportunity of gathering citizens' petitions and stakeholders' views on government policy and proposals has increased greatly, but the volume and the complexity of analyzing unstructured data makes this difficult. On the other hand, text mining has come a long way from simple keyword search, and matured into a discipline capable of dealing with much more complex tasks. In this paper we discuss how text-mining techniques can help in retrieval of information and relationships from textual data sources, thereby assisting policy makers in discovering associations between policies and citizens' opinions expressed in electronic public forums and blogs etc. We also present here, an integrated text mining based architecture for e-governance decision support along with a discussion on the Indian scenario
关键词：Text mining techniques; e- governance; public policy; public opinion; decision support systems