A method for social network extraction from e-government
Year of publication: |
2019
|
---|---|
Authors: | Alguliyev, Rasim M. ; Aliguliyev, Ramiz M. ; Niftaliyeva, Gunay Y. |
Published in: |
International journal of information systems in the service sector : IJISSS ; an official publication of the Information Resources Management Association. - Hershey, Pa. : IGI Global, ISSN 1935-5688, ZDB-ID 2498765-7. - Vol. 11.2019, 3, p. 37-55
|
Subject: | E-Government | Opinion Mining | Polarity | Sentiment Analysis | Social Network Analysis | Social Network Extraction | Text Mining | Soziales Netzwerk | Social network | E-government | Social Web | Social web | Bergbau | Mining | Data Mining | Data mining |
-
A systematic review on opinion mining and sentiment analysis in social media
Salah, Zaher, (2019)
-
Extracting feelings of people regarding COVID-19 by social network mining
Vahdat-Nejad, Hamed, (2022)
-
Unmasking the twitterverse : analyzing sentiments towards DeFi
Walia, Nidhi, (2024)
- More ...
-
Filtration of Terrorism-Related Texts in the E-Government Environment
Alguliyev, Rasim M., (2018)
-
A Model for Text Summarization
Alguliyev, Rasim M., (2017)
-
A Fuzzy TOPSIS+Worst-Case Model for Personnel Evaluation Using Information Culture Criteria
Alguliyev, Rasim M., (2016)
- More ...