Detecting fake reviews is essential for maintaining a trustworthy online business environment.

Pre-trained language models have revolutionized natural language processing (NLP) by improving contextual understanding.

Online reviews influence purchasing decisions but are often manipulated by businesses for profit.

Fake reviews mislead consumers and harm platform integrity, necessitating robust detection methods.

Using a combination of pre-trained NLP models and convolutional neural networks (CNNs), FaceOff AI enhances text and video classification, efficiently identifying fraudulent opinions based on sentiment analysis and complex review structures.