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Reseach Article

Evolving Sentiments towards E-Governance using Opinion Mining

Published on January 2015 by Pankaj Kumar, Alisha Zaidi, Ankita Srivastava, Geet Jain
International Conference on Distributed Computing and Internet Technology
Foundation of Computer Science USA
ICDCIT2015 - Number 1
January 2015
Authors: Pankaj Kumar, Alisha Zaidi, Ankita Srivastava, Geet Jain
155b8853-b819-4d52-87b8-19af44a3e074

Pankaj Kumar, Alisha Zaidi, Ankita Srivastava, Geet Jain . Evolving Sentiments towards E-Governance using Opinion Mining. International Conference on Distributed Computing and Internet Technology. ICDCIT2015, 1 (January 2015), 24-27.

@article{
author = { Pankaj Kumar, Alisha Zaidi, Ankita Srivastava, Geet Jain },
title = { Evolving Sentiments towards E-Governance using Opinion Mining },
journal = { International Conference on Distributed Computing and Internet Technology },
issue_date = { January 2015 },
volume = { ICDCIT2015 },
number = { 1 },
month = { January },
year = { 2015 },
issn = 0975-8887,
pages = { 24-27 },
numpages = 4,
url = { /proceedings/icdcit2015/number1/19410-4005/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Distributed Computing and Internet Technology
%A Pankaj Kumar
%A Alisha Zaidi
%A Ankita Srivastava
%A Geet Jain
%T Evolving Sentiments towards E-Governance using Opinion Mining
%J International Conference on Distributed Computing and Internet Technology
%@ 0975-8887
%V ICDCIT2015
%N 1
%P 24-27
%D 2015
%I International Journal of Computer Applications
Abstract

Today in current scenario, much of the research are focusing on opinion mining and sentiments analysis due to its high volume of opinion available in blogs, discussion forum, review sites, surveys, news, social network sites etc available in electronic format. Now researchers are anticipated to build up a system that can recognize and classify opinion as represented in digital form. We have a chance to make appropriate belief of a thousand views and discover problems as soon as they occur. Opinion mining can be made appropriately as a sub-discipline of computational linguistics that exactly concentrates on extracting people's opinion from the web, surveys and other which are available digitally. Opinion mining gives us direction in building a system by which we can bring together and inspect opinions about the product available digitally such as surveys, blogs and other online format. Here in this paper we have considered E-Governance basically as the application of Information and Communications Technology to define the functioning of Government in order to bring about 'Simple, Moral, Accountable, Responsive and Transparent' (SMART) governance. In this paper we are trying to evolve the sentiments towards E-Government projects and policies on the basis of opinion collected from the people. We try to analyze the effectiveness of E-governance using the concept of opinion mining. For this we took the opinions of people regarding smart city.

References
  1. E-Governance Project Life cycle, printed and published by National Institute for Smart Government, www. nisg. org on behalf of the Department of Electronics & Information Technology, Government of India, April 2012.
  2. Dr. A. Padmapriya, E-Governance: A move towards paperless Administration in India, International Journal of Computer Trends and Technology- volume4Issue3- 2013 ISSN: 2231-2803 Page 404.
  3. Bing liu,Lei zhang,Chapter 1 A survey of opinion mining and Sentiment analysis, Nov 4, 2010.
  4. G. Vinodhini and R. M. Chandrasekaran, Sentiment Analysis and Opinion Mining: A Survey, Published in International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 6, June 2012.
  5. David Osimo and Francesco Mureddu, Research Challenge on Opinion Mining and Sentiment Analysis, June 2012.
  6. Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. Learning Word Vectors for Sentiment Analysis. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011).
  7. Vishal Gupta, Gurpreet S. Lehal, A Survey of Text Mining Techniques and Applications, Journal of Emerging Technologies in Web Intelligence, Vol. 1, No. 1, August 2009, Academy publisher, pp 60-76.
  8. Bing Liu. Sentiment Analysis and Opinion Mining, Morgan & Claypool Publishers, May 2012.
  9. Bo Pang and Lillian Lee, Opinion Mining and Sentiment Analysis, Foundations and Trends in Information Retrieval, Vol. 2, Nos. 1–2 (2008) 1–135.
  10. S Padmaja and Prof. S Sameen Fatima, Opinion Mining and Sentiment Analysis –An Assessment of Peoples' Belief: A Survey, International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC) Vol. 4, No. 1, February 2013.
  11. Erik Cambria, Bjo?rn Schuller, Yunqing Xia, Catherine Havasi, New Avenues in Opinion Mining and Sentiment Analysis, IEEE Computer Society 2013.
Index Terms

Computer Science
Information Sciences

Keywords

E-governance Opinion Mining Sentiment Analysis