Improved Model for Identifying the Cyberbullying Based on Tweets of Twitter

被引：0
作者：
Samalo D. [1 ]
Martin R. [1 ]
Utama D.N. [1 ]
机构：
[1] Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta
来源：
Informatica (Slovenia) | 2023年 / 47卷 / 06期
关键词：
cyberbullying; decision tree; natural language processing; text mining; Twitter;
D O I：
10.31449/inf.v47i6.4534
中图分类号：
学科分类号：
摘要：
The surge of cyberbullying on social media platforms is a major concern in today's digital age, with its prevalence escalating alongside advancements in technology. Thus, devising methods to detect and eliminate cyberbullying has become a crucial task. This research meticulously presents a refined model for identifying instances of cyberbullying, building on previous methodologies. The process of devising the model involved a thorough literature review, object-oriented design, and decision tree methodologies to shape the labelling procedure and build the classifier. Data pre-processing was executed using RapidMiner, considering six intrinsic components. The final model successfully classified Indonesian-language tweets into five distinct categories: animal, psychology and stupidity, disabled person, attitude, and general bullying, with an accuracy rate of 99.56%. © 2023 Slovene Society Informatika. All rights reserved.
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收藏
页码：159 / 164
页数：5
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