Item surveys assume a significant part in choosing the offer of a specific item on the online business sites or applications like Flipkart, Amazon, Snap deal, and so on. In this, we propose a structure to identify counterfeit item surveys or spam audits by utilizing Opinion Mining. The Opinion mining is otherwise called Sentiment Analysis. In assumption investigation, we attempt to sort out the assessment of a client through a piece of text. We first take the audit and check if the survey is identified with the item with the assistance of Decision tree.
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