Cyberbullying Detection Modelling at Twitter Social Networking

Anggraini, Ika Yunida and Sucipto, Sucipto and Indriati, Rini (2018) Cyberbullying Detection Modelling at Twitter Social Networking. JUITA: Jurnal Informatika, 6 (2). pp. 113-118. ISSN 2579-8901

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Cybercrimes often happened in social networking sites. Cyber-bullying is a form of cybercrime that recently trended in one of popular social networking sites, Twitter. The practice of cyber-bullying on teenager can cause depression, murderer or suicidal thoughts and it needs a preventing action so it will not harmful to the victim. To prevent cyber-bullying a text mining modelling can be done to classify tweets on Twitter into two classes, bullying class and not bullying class. On this research we use Naïve Bayes Classifier with five stages of preprocessing : replace tokens, transform case, tokenization, filter stopwords and n-grams. The validation process on this research used 10-Fold Cross Validation. To evaluate the performance of the model a Confusion Matrix table is used. The model on 10-Fold Cross Validation phase works well with 77,88% of precision , 94,75% of recall and 82,50% of accuracy with +/-5,12% of standard deviation.

Item Type: Article
Subjects: 410 Engineering science > 457 Computer engineering
410 Engineering science > 458 Technical information
410 Engineering science > 459 Computer science
410 Engineering science > 461 Information systems
410 Engineering science > 462 Information technology
410 Engineering science > 463 Software engineering
Divisions: Fakultas Teknik > S1-Sistem Informasi
Depositing User: Sucipto Sucipto
Date Deposited: 12 Dec 2020 07:04
Last Modified: 15 Dec 2020 13:53

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