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Many studies have been done to draw attention to
violence against women around the world. The aim of the studies
is to awaken the society in general and to encourage women. For
this purpose, this paper is aimed to draw attention to the violence
against women by using data mining classification algorithms.
The purpose of this study is to analyze the data on Twitter, which
is one of the most widely used social media platform, and how
much of the words such as violence, women and harassment are
related to violence against women as cybercrime. For this, tweets
from Twitter should be taken with certain words. Tweets were
obtained according to some attributes using the Python language
and the streaming API. The Tweepy library also used for this
streaming API. Tweets were taken and analyzed in WEKA tool
using various data mining classification algorithms. According to
the experimental results, the best classifier was J48 algorithm
with 82.9% accuracy and 0.902 F-Measure value.
International Conference on Cyber Security and Computer Science
ICONCS
M. KAYA KELEŞ
A. Ş. EROL