• Sinthuja M
• Jayakumar D
• Ramkumar MO

Online reviews of various products or have become an important source for determining public opinion. Therefore, tradesmen and supplier are anxious about testimonials, because they directly affect their business. Unfortunately, Over the past few years, the problem of spam review detection has received a lot of observation among communities and researchers, but experiments with real, bulk amounts of spam datasets are still needed. This can encourage to examine the review which is widespread in online reviews. In this work, two different spam detection methods are proposed: (1) Spam audit detection using client behaviours it uses the behavioral characteristics of thirteen different spammers to calculate a spam score, which is then used to identify spammers and spam. reviews and (2) Spam Review Detection Using a Linguistic Method (SRD-LM) operates on review content and uses transformations, feature selection, and classification to identify spam reviews. Experimental evaluations are performed using a real Amazon review dataset, analyzing 30.2 million analysis and 20 million analysis. Research show that two advanced models notably improved the process of detecting junk evaluations. In particular, behavior method achieved an accuracy of 95%, while the linguistic method achieved a spam scan detection accuracy of 80.1%. In comparison, Behavior method achieved better accuracy because it uses the rich features of spammers' behavior in the validation dataset, which provides a comprehensive analysis of spammers' behavior. To our knowledge, this is the first study of its kind that uses real-world survey data to analyze the behavioral cha

Internet analysis, feature detection, linguistic characteristics,behavioral characteristics.

"Block Chain Based Secure Spam Review Detection Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.f716-f725, August-2023, Available :http://www.jetir.org/papers/JETIR2308586.pdf

"Block Chain Based Secure Spam Review Detection Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppf716-f725, August-2023, Available at : http://www.jetir.org/papers/JETIR2308586.pdf