Earticle

초록

영어

This study aims to identify and filter extreme and fake hotel reviews on the YouTube platform using machine learning and natural language processing (NLP) techniques. As social media increasingly influences consumer decisions, user-generated reviews have become a key factor in online marketplace credibility. However, review manipulation and fake reviews threaten platform trust. This research contributes to enhancing review authenticity and supporting rational consumer decisions.

목차

Abstract
Introduction
Theoretical Background
Detection of Manipulated Reviews
Identification of Extreme and Manipulated Reviews
Research Methodology
Research Process
Data Collection and Preprocessing
Research Results
Detection of Manipulated Reviews Based on VADER and SVM
Topic Modeling
Results
Discussion and Findings
Implications and Future Research Directions
References

저자

• Azamatov Bunyod [ 순천향대학교 경영학과 석사과정 ]
• Zhongting Jia [ 순천향대학교 경영학과 석사과정 ]
• Jaewon Choi [ 순천향대학교 경영학과 교수 ]

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