چکیده مقاله
Social networking sites, like Twitter and Facebook, are quickly becoming one of the most popular tools for social interaction and information exchange Predicting and evaluating the behavior of users on social networks are considered as the main goal of this research First of all, SXSW event dataset is considered as a benchmark dataset related to Twitter After normalization and deletion of the preposition, positive and negative meaning of words are classified into positive and negative labels Finally, the user behavior in using classified words are investigated by Grey Wolf Optimization GWO algorithm The results reveal the accuracy of GWO method in human behavior evaluation
کلیدواژهها
نویسندگان
Mehdi Babagoli
Department of industrial Engineering, K N Toosi University of technology, Tehran, Iran;
منیره حسینی
Department of industrial Engineering, K N Toosi University of technology, Tehran, Iran;
شیوه ارجاع
Babagoli, Mehdi and Hosseini, Monireh,1398,Human behavior evaluation in Twitter using meta-heuristic algorithm,3rd International Conference on Soft Computing,Rudsar
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی محاسبات نرم29 آبان 1398 · رودسر