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When assumption of independence holds, a Naive Bayes classifier performs better compare to other models like logistic regression and you need less training data. 2. How does K-NN work? Step-3: Take the K nearest neighbors as per the calculated Euclidean distance. D. Logistic Regression Logistic regression can also be used in: Logistic regression is used when the response variable is categorical, such as yes/no, true/false and pass/fail. Linear regression is used when the response variable is continuous, such as number of hours, height and weight. Home Page: In this home page we can see the logo designing of our website and here we are detecting the fake reviews from the review entered by the user. [1] R. Barbado, O. Araque, and C. A. Iglesias, "A framework for fake review detection in online consumer electronics retailers," Information Processing & Management, vol. 56, no. 4, pp. 1234 – 1244, 2019. [2] S. Tadelis, "The economics of reputation and feedback systems in e-commerce marketplaces," IEEE Internet Computing, vol. 20, no. 1, pp. 12–19, 2016. [3] M. J. H. Mughal, "Data mining: Web data mining techniques, tools and algorithms: An overview," Information Retrieval, vol. 9, no. 6, 2018. [4] C. C. Aggarwal, "Opinion mining and sentiment analysis," in Machine Learning for Text. Springer, 2018, pp. 413–434. [5] A. Mukherjee, V. Venkataraman, B. Liu, and N. Glance, "What yelp fake review filter might be doing?" in Seventh international AAAI conference on weblogs and social media, 2013. [6] N. Jindal and B. Liu, "Review spam detection," in Proceedings of the 16th International Conference on World Wide Web, ser. WWW '07, 2007. [7] E. Elmurngi and A. Gherbi, Detecting Fake Reviews through Sentiment Analysis Using Machine Learning Techniques. IARIA/DATA ANALYTICS, 2017. [8] V. Singh, R. Piryani, A. Uddin, and P. Waila, "Sentiment analysis of movie reviews and blog posts," in Advance Computing Conference (IACC), 2013, pp. 893–898. [9] A. Molla, Y. Biadgie, and K.-A. Sohn, "Detecting Negative Deceptive Opinion from Tweets." in International Conference on Mobile and Wireless Technology. Singapore: Springer, 2017. [10] S. Shojaee et al., "Detecting deceptive reviews using lexical and syntactic features." 2013. [11] Y. Ren and D. Ji, "Neural networks for deceptive opinion spam detection: An empirical study," Information Sciences, vol. 385, pp. 213– 224, 2017. [11] H. Li et al., "Spotting fake reviews via collective positive-unlabeled learning." 2014.

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