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    The original dataset is skewed. It has 608k+ restaurant reviews gathered from Yelp.com for NY, NJ, VT, CT, and PA. There exist 13.22% of fake reviews and 86.78% of truthful reviews. In this project, I first extracted user-behavior features [3] from reviews and reviewers' information, such as the average review length for each user and the maximum number of reviews in a day for each user. I then applied both supervised and unsupervised learning methods on user behavior data and reviewed data to see which method and dataset performed better. Since Yelp's early days, reviews are one of the most important factors customers have relied on to determine the quality and authenticity of a business. A local consumer review survey published last year shows that 90% of consumers used the internet to find a local business in the previous year, and 89% of 35รขย€ย“54-year-olds trust online reviews as much as personal recommendations. Although Yelp's listings often have hundreds or thousands of reviews, many of those reviews can't be trusted.

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    The original dataset is skewed. It has 608k+ restaurant reviews gathered from Yelp.com for NY, NJ, VT, CT, and PA. There exist 13.22% of fake reviews and 86.78% of truthful reviews. In this project, I first extracted user-behavior features [3] from reviews and reviewers' information, such as the average review length for each user and the maximum number of reviews in a day for each user. I then applied both supervised and unsupervised learning methods on user behavior data and reviewed data to see which method and dataset performed better. Since Yelp's early days, reviews are one of the most important factors customers have relied on to determine the quality and authenticity of a business. A local consumer review survey published last year shows that 90% of consumers used the internet to find a local business in the previous year, and 89% of 35รขย€ย“54-year-olds trust online reviews as much as personal recommendations. Although Yelp's listings often have hundreds or thousands of reviews, many of those reviews can't be trusted.

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