Ontology Driven Sentiment Analysis on Social Web for Government Intelligence-Reference-Cited by-同舟云学术

Ontology Driven Sentiment Analysis on Social Web for Government Intelligence

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Special Collection on eGovernment Innovations in India - ICEGOV '17
language:
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Author:

Kumar Akshi¹,Joshi Arunima¹

Affiliation:

1. Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India

Publisher

ACM Press

Reference11 articles.

1. Pang, B. and Lee, L., 2008. Opinion mining and sentiment analysis. Foundations and trends in information retrieval, 2(1-2), pp.1--135.

2. Kumar, A. and Teeja, M.S., 2012. Sentiment analysis: A perspective on its past, present and future. International Journal of Intelligent Systems and Applications, 4(10), p.1--14, September 2012, MECS Publisher.

3. Kumar, A. and Joshi, A., 2016. IndiGov-O: An ontology of Indian Government to empower Digital Governance, India International Conference on Information Processing (IEEE), 2016, Accepted to be published.

4. Kumar, A. and Sharma, A., 2016, September. Paradigm shift from E-governance to S-governance. In The Human Element of Big Data: Issues, Analytics, and Performance, Taylor and Francis, CRC Press, September 2016.

5. Kontopoulos, E., Berberidis, C., Dergiades, T. and Bassiliades, N., 2013. Ontology-based sentiment analysis of twitter posts. Expert systems with applications, 40(10), pp.4065--4074.

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