Skip to main content

A Proposed Framework for Evaluating the Performance of Government Initiatives Through Sentiment Analysis

  • Conference paper
  • First Online:
Cognitive Informatics and Soft Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 768))

Abstract

The main goal of any Government is to secure the basic rights of its citizens, promoting the welfare (in general) and economic growth while maintaining domestic tranquilly and achieving sustainable development. Government and its agencies introduce several initiatives for the welfare of its citizens and to improve the quality of public services. The performances of all such initiatives need to be evaluated with the involvement of the citizens at large, to draw insights into the public acceptance of such initiatives. These insights gained can be used to restructure/transform the government initiatives to make them more successful. Routinely citizens use social networks to post their opinions, views, and comments. Analyzing social content media is thus very important for Governments to take decisions. Sentiment Analysis, as a tool can be used to analyze the citizens feedback expressed on all such social media.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gupta, F., Singal, S.: Sentiment analysis of the demonetization of the economy 2016, India region wise. In: IEEE 7th International Conference on Cloud Computing, Data Science and Engineering—Confluence 2017 (978-1-5090-3519-9/17 © 2017 IEEE)

    Google Scholar 

  2. Kim, G.-H., Trimi, S., Chung, J.-H.: Big-data applications in the government sector. Contributed Article Commun. ACM 57(3) (2014)

    Google Scholar 

  3. Mishra, P., Rajnish, R., Kumar, P.: Sentiment analysis of twitter data: case study on digital india. In: IEEE 2016 International Conference on Information Technology (InCITe)—The Next Generation IT Summit (978-1-5090-2612-8/16 ©2016 IEEE)

    Google Scholar 

  4. Mahajan, A., Divyavir, R., Kumar, N., Gade, C., Deshpande, L.A.: Analysing the impact of government programmes. Int. J. Innovative Res. Comput. Commun. Eng. 4(3) (2016, March)

    Google Scholar 

  5. Arunachalam, R., Sarkar, S.: The new eye of government: citizen sentiment analysis in social media. In: IJCNLP 2013 Workshop on Natural Language Processing for Social Media (SocialNLP), pp. 23–28, Nagoya, Japan, 14 Oct 2013

    Google Scholar 

  6. Susilawati, E.: Public services satisfaction based on sentiment analysis. case study: electrical services in Indonesia. In: IEEE 2016 International Conference on Information Technology Systems and Innovation (ICITSI) Bandung—Bali, 24–27 Oct 2016 (978-1-5090-2449-0/16 ©2016 IEEE)

    Google Scholar 

  7. Raj, S., Kajla, T.: Sentiment analysis of Swachh Bharat Abhiyan. Int. J. Bus. Analytics Intell. 3(1) (2015) (ISSN: 2321-1857)

    Google Scholar 

  8. Li, M., Ch’ng, E., Chong, A., See, S.: The new eye of smart city: novel citizen sentiment analysis in twitter. In: International Conference on Audio, Language and Image Processing 2016 (ICALIP 2016) (978-1-5090-0654-0/16 ©2016 IEEE)

    Google Scholar 

  9. Yadav, P., Pandya, D.: SentiReview: sentiment analysis based on text and emoticon. In: IEEE International Conference on Innovative Mechanisms for Industry Applications (ICIMIA 2017) (978-1-5090-5960-7/17 ©2017 IEEE)

    Google Scholar 

  10. Naiknaware, B.R., Kawathekar, S., Deshmukh, S.N.: Sentiment analysis of indian government schemes using twitter datasets. In: International Conference on Recent Advances in Computer Science, Engineering and Technology, IOSR Journal of Computer Engineering (IOSR-JCE) (e-ISSN: 2278-0661, p-ISSN: 2278-8727), pp. 70–78

    Google Scholar 

  11. Sharma, M.: Twitter sentiment analysis on demonetization an initiative government of India. Int. J. Recent Trends Eng. Res. (IJRTER) 03(04) (2017) (ISSN: 2455-1457)

    Google Scholar 

  12. Chong, W.Y, Selvaretnam, B., Soon, L.-K.: Natural language processing for sentiment analysis. In: IEEE 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology (978-1-4799-7910-3/14 © 2014 IEEE)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. S. Dandannavar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dandannavar, P.S., Mangalwede, S.R., Deshpande, S.B. (2019). A Proposed Framework for Evaluating the Performance of Government Initiatives Through Sentiment Analysis. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_32

Download citation

Publish with us

Policies and ethics