Netifier

Overview

Indonesian Social Media Text Toxicity Classification. In summary, our contributions are:

1. Created Indonesian social media post toxicity dataset (with 4 labels: pornography, racism, radicalism, and hate speech)
2. Performed exploratory data analysis, data preprocessing, and modelling for toxicity content classification task
3. Compared various machine learning model performance on this task

Project Organization

├── LICENSE
├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
└── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
 						  and short description

Contributors

• Ahmad Izzan
• Christian Wibisono
• Ilham Firdausi Putra