Detecting Lies in Text

Qin Liu


Supervised by Yukun Lai; Moderated by Kirill Sidorov

Lie Detection in text is a very active research field. From new stories to tweets interest in detecting lies is constantly growing. Many different datasets for training and many different models to do so exist. This project will explore how these models perform within specific contexts and their generalisation across datasets.

Students need to have good coding skills in python and an interest in machine learning including deep learning.

Final Report (01/11/2022) [Zip Archive]

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