Modified fuzzy sentiment analysis approach based on user ranking suitable for online social networks
Author:
Affiliation:
1. Department of Information Technology Institute of Graduate Studies and Research Alexandria University 163 Horreya Avenue, El Shatby, P.O. Box 832, Alexandria 21526 Alexandria Egypt
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Graphics and Computer-Aided Design
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2019.0054
Reference28 articles.
1. Hu G. Bhargava P. Fuhrmann S. et al.: ‘Analyzing users’ sentiment towards popular consumer industries and brands on twitter’.IEEE Int. Conf. on Data Mining Workshops ICDMW New Orleans LA USA. 2017 pp.381–388
2. Sentiment analysis algorithms and applications: a survey;Medhat W.;Ain Shams Eng. J.,2019
3. Classifying streaming of Twitter data based on sentiment analysis using hybridization
4. A novel sentiment analysis of social networks using supervised learning;Anjaria M.;Soc. Netw. Anal. Min.,2014
5. Fine grained sentiment classification of customer reviews using computational intelligent technique;Priyanka C.;Int. J. Eng. Technol.,2016
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