Earticle

초록

영어

The main research topic of this study is how much ‘opinion mining’ of online comments on specific keywords reflects actual public opinion. In detail, we compared and analyzed how much the results of sentiment analysis for comments by platform reflect the actual opinion poll results. We analyzed the most mentioned keywords by platform and by parking in the comments classified as positive, and the most mentioned keywords by platform and by parking in the comments classified as negative. As a result of the study, it was found that the results of the polls were similarly reflected in the order of the Naver News model, Naver News + YouTube model, and YouTube model. In addition, it was possible to find out keywords with high interest by positive/negative public opinion through positive/negative word cloud analysis by parking and platform.

목차

Abstract
I. INTRODUCTION
II. LITERATURE REVIEW
A. Webscrapping
B. Sentiment anlaysis
C. KoBERT
III. RESEARCH METHODOLOGY
IV. RESULTS
ACKNOWLEDGMENT
REFERENCES

저자

• Suyeon Sun [ dept. of Software Convergence of Economics and Business Dankook University ]
• Jenny Park [ dept. of Business Administration Dankook University ]
• Baek Sujin [ Dankook SW-Centric University Project Dankook University ]
• Haejin Chung [ Dankook SW-Centric University Project Dankook University ]
• Jung Bokmoon [ Dankook SW-Centric University Project Dankook University ]
• Park Sohyun [ Dankook SW-Centric University Project Dankook University ]
• Seunghun Baek [ Dankook SW-Centric University Project Dankook University ]
• Eung-Kyo Suh [ dept. of Software Convergence of Economics and Business Dankook University ]

참고문헌