FAKE NEWS DETECTION SYSTEM

Abstract: Extracting each word from a new post or remark in order to detect the feelings expressed therein, followed by matching those words with dictionaries in order to classify the post using a classification model. Use ML approaches to later determine whether it is FAKE or REAL NEWS. Project is the web-based programme that the program's administrator and users access. Accessing the project in real time requires an internet connection. The project relies on outdated information (training data-set). Users of the application should have knowledge in accessing the application . The project was created with the aid of effective tools like SQL Server and Visual Studio.

Keywords: SQL Server, Visual Studio, classification model, ML