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International Conference on Advances in Computing and Information Technology

ACITY 2011: Advances in Computing and Information Technology pp 270–281Cite as

Text Mining Based Decision Support System (TMbDSS) for E-governance: A Roadmap for India

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 198))

Abstract

In this digital age most of the government regulations are often available online, similarly with the advent of a number of electronic online forums the opportunity of gathering citizens’ petitions and stakeholders’ views on government policy has increased greatly, but the volume and the complexity of analyzing unstructured data makes difficult to extract useful information from this data. On the other hand, text mining(TM) has the capability to deal with this type of data. TM techniques can help policy makers by identifying the relatedness between existing regulations and proposed policy drafts. In this article we discuss how text-mining techniques can help in retrieval of information and relationships from unstructured data sources, thereby assisting policy makers in discovering associations between existing policies, proposed policies and citizens’ opinions expressed in electronic public forums. In this article, an integrated text mining based architecture for e-governance decision support is presented along with a discussion on the Indian scenario.

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Author information

Authors and Affiliations

  1. Information Systems, Indian Institute of Management, Indore, Madhya Pradesh, India

    Gadda Koteswara Rao & Shubhamoy Dey

Authors
  1. Gadda Koteswara Rao
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  2. Shubhamoy Dey
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Editor information

Editors and Affiliations

  1. Southeastern Louisiana University, 70402, Hammond, LA, USA

    David C. Wyld

  2. Chair of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michal Wozniak

  3. University of Calcutta, Calcutta, India

    Nabendu Chaki

  4. Jackson State University Jackson, 39217, MS, USA

    Natarajan Meghanathan

  5. Wireilla Net Solutions PTY Ltd, Melbourne, Victoria, Australia

    Dhinaharan Nagamalai

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© 2011 Springer-Verlag Berlin Heidelberg

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Rao, G.K., Dey, S. (2011). Text Mining Based Decision Support System (TMbDSS) for E-governance: A Roadmap for India. In: Wyld, D.C., Wozniak, M., Chaki, N., Meghanathan, N., Nagamalai, D. (eds) Advances in Computing and Information Technology. ACITY 2011. Communications in Computer and Information Science, vol 198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22555-0_29

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  • DOI: https://doi.org/10.1007/978-3-642-22555-0_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22554-3

  • Online ISBN: 978-3-642-22555-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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