Fake Review Detection and Sentiment Analysis

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About this project

Fake reviews often damage the reputation and integrity of services such as Yelp. In this project fake reviews were created using natural language processing and n-gram and gpt2 models were used to discern between real and fake reviews. A sentiment analysis on the reviews was also performed to create more context around the business use case of fake reviews and how often the fake reviews are negative. The models used trained weights from BERT and DistilBERT to improve the accuracy of the models.

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