Human behavior evaluation in Twitter using meta-heuristic algorithm
محل انتشار: سومین کنفرانس بین المللی محاسبات نرم
سال انتشار: 1398
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 546
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شناسه ملی سند علمی:
CSCG03_020
تاریخ نمایه سازی: 14 فروردین 1399
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.
کلیدواژه ها:
نویسندگان
Mehdi Babagoli
Department of industrial Engineering, K.N. Toosi University of technology, Tehran, Iran;
Monireh Hosseini
Department of industrial Engineering, K.N. Toosi University of technology, Tehran, Iran;