Lirui (Harrison) Huang¹, Yu Sun², Fangyan Zhang³, ¹USA, ²California State Polytechnic University, USA, ³ASML, USA

Since the moment human step into the high technology era, the world that people live in has changed subversively. As more and more unprecedented advancement being discovered, modern life of today’s people is now incredibly convenience. However, when the internet has played a pivotal role in everyday life, among the information that we are getting, countless of them are fraudulent. This paper designs a website to filter the influence of fake comments made to the product. We applied our application to the most commonly used shopping platform, Amazon, and conducted a qualitative evaluation of the approach. With a large amount of trained data, the sentiment analysis program can filter the fraudulent and odd comments and to give a more accurate score regarding a product by reading through each comment. This will definitely help consumers determine whether a product is fine or not.

Product review, website, machine learning, JavaScript, HTML.