Title: Extracting social networks from e-government by sentiment analysis of users' comments

Authors: Rasim M. Alguliyev; Ramiz M. Aliguliyev; Gunay Y. Niftaliyeva

Addresses: Institute of Information Technology, zerbaijan National Academy of Sciences, 9A, B. Vahabzade Street, AZ1141, Baku, Azerbaijan ' Institute of Information Technology, zerbaijan National Academy of Sciences, 9A, B. Vahabzade Street, AZ1141, Baku, Azerbaijan ' Institute of Information Technology, zerbaijan National Academy of Sciences, 9A, B. Vahabzade Street, AZ1141, Baku, Azerbaijan

Abstract: Nowadays, the improvement of governance, ensurance the security and the timely detection of propaganda against the government are major problems of e-government. Extraction of hidden social networks is one of the most actual problems in the term of government security. The extraction of hidden social networks operating against the state in e-government is one of the key factors to ensure the security in e-government. In the paper, a method has been proposed for extracting hidden social networks to improve management in e-government, prevent promotion against the government and ensure the security. In this approach, hidden social networks are extracted through the analysis of user's comments via opinion and text mining technologies.

Keywords: e-government; social network extraction; SONEX; social network analysis; text mining; opinion mining; sentiment analysis.

DOI: 10.1504/EG.2019.096576

Electronic Government, an International Journal, 2019 Vol.15 No.1, pp.91 - 106

Received: 26 Jun 2017
Accepted: 24 Jul 2018
Published online: 05 Dec 2018 *

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