감성 분석을 사용하여 조작 된 리뷰가 있는 제품 감지

The detection of products with manipulated reviews using Sentiment Analysis: Application of Russian Online Store

Since the beginning of society, Word-of-mouth is one of the most influential resources of information transmission, however, due to widespread use of the Internet and the advances of information technologies the information transmitting way has changed considerably. According to Eslami (2018), about 85% of consumers make their final purchase decisions based on online customer reviews generated by previous customers. Therefore, some companies or vendors can strategically manipulate online reviews in an effort to influence customers purchase decisions. In our study, we will examine the difference between how companies of Well-Known brands and Unknown brands manipulate online review, how these manipulations affect sales in Russian Online Store. The purpose of our study is to close the gap in research on the investigation connection between brand awareness and product s reviews manipulation. To identify products with manipulated reviews, we used a Runs test to check the results of Sentiment analysis, analysis of the Readability, and rating of each review for randomness over time.