Hyuto/BDC-Satria-Data
Main Repository tim Catatan Cakrawala pada lomba Big Data Competition - Satria Data 2020
This project helps social media managers, journalists, or content moderators identify fake news. It takes images and accompanying text from online sources, processes them to clean up formatting and enhance image quality, and then predicts whether the content is a hoax or legitimate information. The output is a classification that helps users quickly determine the credibility of a piece of content.
No commits in the last 6 months.
Use this if you need to automatically detect misinformation in Indonesian-language text and images, especially from sources like turnbackhoax.id.
Not ideal if your primary need is to detect hoaxes in languages other than Indonesian or solely based on video content.
Stars
9
Forks
3
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 08, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Hyuto/BDC-Satria-Data"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ChenglongChen/kaggle-HomeDepot
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
ChenglongChen/kaggle-CrowdFlower
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
minerva-ml/open-solution-avito-demand-prediction
Open solution to the Avito Demand Prediction Challenge
ai-forever/digital_peter_aij2020
Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's...
thomasthaddeus/DSComp
This repository is for a sharing work from a competition on kaggle were teamed up on.