HOAX DETECTION AND ANALYZER

This experiments conducted aimed at selecting the best algorithm in classifying hoax and non-hoax news with the number of data in Indonesian and english language using textmining method and machine learning based approaches. This research undergoes the text preprocessing phase which consists of filtering, stopwords removing, stemming.
Please try Hoax Detection and Analyzer…click here

Hoax Detection Using Retrieval-Augmented Generation (RAG) Fusion Based Framework 

The ongoing research focuses on detecting hoax news in the Indonesian language by leveraging the Retrieval-Augmented Generation (RAG) framework. This approach combines the strengths of information retrieval and generative models to improve the accuracy and interpretability of hoax detection systems.

Please try Hoax Detection and Analyzer using RAG Fusion Based Framework…click here