X - toxicity detector for Indonesian Languange

Chrome Extension and Machine Learning Backend

This project integrates a Chrome extension for scraping tweets and highlighting toxic content with a Python backend that uses a machine learning model to process the tweets.

Features

- Chrome Extension:

Scrapes tweets directly from Twitter.

Highlights toxic tweets.

Analyze toxicity of your tweet.

---

How to Use

1. Set Up the Chrome Extension

1. Download and unzip extension.zip.

2. Open Chrome and navigate to [chrome://extensions/](chrome://extensions/).

3. Enable Developer Mode.

4. Click Load unpacked and select the extracted folder.

5. Activate the extension.

---

2. Run the Python Backend

1. Ensure the (https://docs.astral.sh/uv/) package manager is installed.

2. Navigate to the backend folder

```bash

cd ml-backend/

```

1. Sync dependencies:

```bash

uv sync

```

3. Activate the virtual environment:

- Windows (Command Prompt):

```bash

.venvScriptsactivate

```

- Windows (Bash):

```bash

source .venv/Scripts/activate

```

- macOS/Linux:

```bash

source .venv/bin/activate

```

4. Run the server:

```bash

uv run main.py

```

---

## Credits

- (https://github.com/getvictor/create-chrome-extension) for the Chrome extension template.

- (https://huggingface.co/) for providing models and datasets.

- (https://huggingface.co/Exqrch/IndoBERTweet-HateSpeech)

- (https://huggingface.co/indolem/indobertweet-base-uncased)

- (https://huggingface.co/datasets/Exqrch/IndoToxic2024)

## Citations

1. IndoToxic2024 Dataset:

```bibtex

@article{susanto2024indotoxic2024,

title={IndoToxic2024: A Demographically-Enriched Dataset of Hate Speech and Toxicity Types for Indonesian Language},

author={Lucky Susanto and Musa Izzanardi Wijanarko and Prasetia Anugrah Pratama and Traci Hong and Ika Idris and Alham Fikri Aji and Derry Wijaya},

year={2024},

eprint={2406.19349},

archivePrefix={arXiv},

primaryClass={cs.CL},

url={https://arxiv.org/abs/2406.19349},

}

```

2. IndoBERTweet:

```bibtex

@inproceedings{koto2021indobertweet,

title={IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization},

author={Fajri Koto and Jey Han Lau and Timothy Baldwin},

booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021)},

year={2021}

}

```