This project aims to develop an efficient and interpretable system for detecting misinformation in textual data using natural language processing techniques. The project aims to compare rule-based and machine learning approaches in order to identify effective methods for analysing and classifying online information, ultimately contributing to improved information reliability in the digital space.
Requirements Analysis
Design & Prototype
Implementation
Testing & Evaluation