Performance Evaluation of Meta-Heuristic Algorithms in Social Media Using Twitter

Abstract

Internet has opened avenues for social presence ubiquitously. Resulting in sharing of opinions, sentiments and reviews across various social media platforms such as Twitter, Facebook, Instagram creating practical demands and research challenges. This paper presents a review on performance evaluation of meta-heuristic algorithms in social media using opinion tweeted data set. We begin with generalized view of meta-heuristic algorithms. And then, we investigate the differences among cuckoo search, KNN and other meta-heuristic algorithms. Followed by comparative analysis of performance when applied on Twitter dataset. Finally, we conclude by discussing some challenges and open problems related to application of meta-heuristic algorithms in social network analysis.