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get paid for amazon reviewsIn each online review system, the consumers' reviews have a significant influence on merchants' ranks. Some existing research works have proved that for each half-star upgrade, the restaurant's sales increased 19 percent more frequently [1], and one star increase in the online rating system will bring five to nine percent increase in revenue [2]. Unfortunately, driven by the substantial economic benefits, many malicious merchants beginning to run illegal operations, including post spam online reviews deliberately. They publish spam reviews or opinions to promote their brand reputation and attract more consumers, due to people tend to purchase such product or choose services that are frequently bought, have top ranking, and have more positive feedbacks [3]. From the BBC News, there were approximately a quarter of Yelp reviews could be spam.Footnote 2 In this paper, we integrate the untruthful opinions and the fraud one comes from the other two types of reviews, and uniformly called as "spam reviews". Spam audits are conflicting with the genuine assessment of items and attempt to deceive per users or intentionally overestimate or belittle one category things. The source of spam reviews might come from malicious merchants, individual spammers and fraud groups. Spam reviews take the form of various patterns designed by spammers [5, 6]. For occasion, the taking after has appeared two spam surveys was writing to Amazon review platform, which was identified with a model survey spam discovery framework [7]. After observing from "Review 1", it is troublesome for human per users to decide whether the audit is spam or generous. Fortunately, on the off chance that a per user finds these two reviews at the same time, he/she will be able to capture the fundamental spam include to classify these two as spam reviews, due to both of them have settled semantic design almost diverse items. Clearly, the manual approaches of identifying spam audits are not attainable for this event.