Human behavior evaluation in Twitter using meta-heuristic algorithm

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.

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;