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 The project relies on outdated information (training data-set).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


Downloads: PDF | DOI: 10.17148/IJARCCE.2022.11718

How to Cite:

[1] Ms. Kavya A, Ms. Sanjana V, Mrs. Divyashree M, "FAKE NEWS DETECTION SYSTEM," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11718

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