APLOD : Hate Speech Comment Detector Application Integrated with ITE Law
APLOD : Hate Speech Comment Detector Application Integrated with ITE Law
Using Machine Learning with Recurrent Neural Network (LSTM) as the algorithm and the model called Aplod-Net for this project. We make a mobile app called "APLOD (Aman Pesannya Let’s gO uploaD)" to detect people when commenting on social media that result as violation in ITE Law.
Using the dataset that we got from the internet and using Machine Learning approach to train our model.
The apps making a suggestion of which sentence that could violate or not violate the ITE Law, users also could make checking to other peoples comment if they think it violates the ITE Law. We hope with this application can controlling Indonesian netizen attitudes on Social Media.
Special Thanks to My Law's Tech Team Member :
Alex Lianardo [Mobile Programming (Android)] Universitas Telkom
Annisaa Utami [Mobile Programming (Android)] Universitas Islam Negeri Syarif Hidayatullah
Adimas Fachri Ranunegoro [Cloud Computing] Universitas Telkom
Agnesia Indryany Mangopo [Cloud Computing] Universitas Telkom
Muhammad Ikhwan Khalid Nasution [Machine Learning] Universitas Telkom
and me also [Machine Learning] ...