ISIITA 2021 Summer backup

A practical approach for aspect-level sentiment analysis in the Korean online shopping malls

Abstract

Author

Heejung

Date

2021-07-08 15:15

Views

229

Type of Presentation	Oral ( ) / Poster ( 0 ) / Anything ( )
Scope and Interests	Computer Application Systems
Title of Paper	A practical approach for aspect-level sentiment analysis in the Korean online shopping malls
Corresponding Author(s)	Name: Heejung Lee Affiliation: Hanyang University e-mail: stdream@hanyang.ac.kr Tel: 02-2220-2364
Author(s) name / Affiliation / e-mail	1) Hyo-Seok Seo / Hanyang University / seossi27@hanmail.net 2) Heejung Lee / Hanyang University / stdream@hanyang.ac.kr 3) Hyo-won Suh / KAIST / hwsuh@kaist.ac.kr
Abstract	Sentiment analysis studies opinion text to identify positive and negative opinions or sentiments expressed in the review text. With the rapid development of online shopping, it becomes increasingly essential to analyze online customer reviews and explore and incorporate them into product design. One of the most challenging online review analyses is the aspect-level sentiment analysis to determine how to connect multiple product features and opinions in one review sentence. We have provided a step-by-step straightforward, but practical approach to addresses the above problem and implemented a sentiment analysis prototype system. We have also gathered and tested the review data set for the Hair Dryer from five Korean online shopping malls, demonstrating that the proposed approach is valid.
Keywords	opinions; product features; hair dryer

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