The Optimization of n-Gram Feature Extraction Based on Term Occurrence for Cyberbullying Classification Cover

The Optimization of n-Gram Feature Extraction Based on Term Occurrence for Cyberbullying Classification

Data Science Journal

Volume 23 (2024): Issue 1

By: Yudi Setiawan , Nur Ulfa Maulidevi and Kridanto Surendro

Open Access

|May 2024

Authors

Yudi Setiawan

33221022@std.stei.itb.ac.id

School of Electrical Engineering and Informatics, Institute of Technology Bandung, Bandung

Nur Ulfa Maulidevi

maulidevi@itb.ac.id

School of Electrical Engineering and Informatics, Institute of Technology Bandung, Bandung

Kridanto Surendro

endro@itb.ac.id

School of Electrical Engineering and Informatics, Institute of Technology Bandung, Bandung

DOI: https://doi.org/10.5334/dsj-2024-031 | Journal eISSN: 1683-1470

Journal RSS Feed

Language: English

Submitted on: Jun 8, 2023

Accepted on: May 6, 2024

Published on: May 23, 2024

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

cyberbullying classification,

term occurrence factor,

© 2024 Yudi Setiawan, Nur Ulfa Maulidevi, Kridanto Surendro, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous article Volume 23 (2024): Issue 1 Next article