감성 분석을 사용하여 조작 된 리뷰가 있는 제품 감지

• 영문명: The detection of products with manipulated reviews using Sentiment Analysis: Application of Russian Online Store
• 발행기관: 한국IT서비스학회
• 저자명: 체르냐예바 올가(Chernyaeva, Olga) 홍태호(Hong Taeho)
• 간행물 정보: 『한국IT서비스학회 학술대회 논문집』2020춘계학술대회, 595~598쪽, 전체 4쪽
• 주제분류: 공학 > 전자/정보통신공학
• 파일형태: PDF
• 발행일자: 2020.05.30

영문 초록

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.

목차

1. Introduction

2. Literature review

3. Experiment and results

References