You can deploy this model and start earning money today!

fajarkrisnajaya/
Pemilu2024-BERT-Clickbait

Name: Pemilu2024-BERT-Clickbait
Availability: InStock

Views

No views yet

Pemilu2024-BERT-Clickbait

Dataset from okezone, tempo, detik, and kompas

Introduction

This project leverages a BERT model for analyzing Indonesian text data, focusing on the Pemilu 2024 elections headline news. it is aimed to classify if a news headline is clickbait (Labeled as 1)

Model Description

The BERT model used here is tailored for the Indonesian language. It's configured to effectively handle election-specific datasets, providing insights into patterns and trends.

File Contents

config.json: Model configuration settings.
model.safetensors: Serialized model file.
special_tokens_map.json: Special tokens for the tokenizer.
tokenizer_config.json: Configuration for text tokenization.
vocab.txt: Vocabulary list used by the model.

Supported Languages

Indonesian (ID)

Contributions and Acknowledgements

Thanks to all contributors and data sources that have made this project possible. upstream task from https://huggingface.co/bert-base-uncased

License

[Specify License Here]

Please adjust the sections as needed, especially the "Usage Instructions" and "License" to fit the actual details of the project. For more information or to view the repository, visit Hugging Face.

fajarkrisnajaya/Pemilu2024-BERT-Clickbait