Implementation of Rumor Detection on Twitter Using J48 Algorithm

  • Yoan Maria Vianny Universitas Telkom
  • Erwin Budi Setiawan Telkom University
DOI: https://doi.org/10.29207/resti.v4i5.2059
Keywords: Twitter, Rumor, Pre-processing, J48, TF-IDF

Abstract

The existence of rumors on Twitter has caused a lot of unrest among Indonesians. Unrecognized validity confuses users for that information. In this study, an Indonesian rumor detection system is built by using J48 Algorithm in collaboration with Term Frequency Inverse Document Frequency (TF-IDF) weighting method. Dataset contains 47.449 tweets that have been manually labeled. This study offers new features, namely the number of emoticons in display name, the number of digits in display name, and the number of digits in username. These three new features are used to maximize information about information sources. The highest accuracy is obtained by 75.76% using 90% training data and 1.000 TF-IDF features in 1-gram to 3-gram combinations.

 

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Published
2020-10-30
How to Cite
Yoan Maria Vianny, & Erwin Budi Setiawan. (2020). Implementation of Rumor Detection on Twitter Using J48 Algorithm. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 4(5), 775-781. https://doi.org/10.29207/resti.v4i5.2059
Issue
Vol 4 No 5 (2020): Oktober 2020
Section
Information Technology Articles

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