Applying fuzzy logic for sentiment analysis of social media network data in marketing-Reference-Cited by-同舟云学术

Applying fuzzy logic for sentiment analysis of social media network data in marketing

Published:2017 Issue: Volume:120 Page:664-670
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Howells Karen,Ertugan Ahmet

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. Bing, L. & Chan, K.C.C. 2014. A Fuzzy Logic Approach for Opinion Mining on Large Scale Twitter Data, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, London, pp. 652-657.

2. Donzé, L., & Meier, A. 2012. Applying Fuzzy Logic and Fuzzy Methods to Marketing, in “Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications”, In: Meier, A. (Ed)., IGI Global, USA, pp.1-15.

3. Enache, I.C. 2015. Fuzzy Logic marketing models for sustainable development. Series V: Economic Sciences. Vol. 8. Iss. 57. No. 1-2015.

4. The rise of social bots;Ferrara;Communications of the ACM.,2016

5. Haque, A. & Rahman, T. 2014. Sentiment Analysis By Using Fuzzy Logic. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT). Vol. 4. No. 1.

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