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As a part of my Information Retrieval module in the University of East Anglia, we had to build classifier to detect deceptive review spam. Review spam was described by Nitin Jindal as follows: "It is now a common practice for e-commerce Web sites to enable their customers to write reviews of products that they have purchased. Such reviews provide valuable sources of information on these products .. Unfortunately, this importance of reviews also gives good incentive for spam, which contains false positive or malicious negative opinions". This is my poster presentation where I implemented 3 classification algorithms using Python, as well as feature selection and preprocessor modules.