Fake_News_Prediction | Detecting fake news using Natural Language Processing

Fake_News_Prediction is a Jupyter Notebook library. Fake_News_Prediction has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

In this project, we will try to utilize the Logistic Regression (LR) model and the Convolutional neural networks (CNN) model to replicate the results in the article written by Wang(2017) by using the LIAR dataset. Specifically, this paper is organized as follows: the background section examines the literature in the field of fake news detection and also introduces the LIAR dataset. The methodology section describes the data processing approach, the LR model, and the CNN model. In the results section, we compare and interpret the metrics from those two models. Finally, current limitations of models’ application and possible directions for further improvements are discussed at the last Section.