이커머스 후기글 평가분석 트리플에 기반한 평가주석 데이터셋 EVAD 구축 방법론 - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue The Journal of Linguistics Science Année : 2021

A Methodology of Building Evaluation-Annotated Datasets (EVAD) Based on the Evaluation-Triple in E-Commerce Reviews

이커머스 후기글 평가분석 트리플에 기반한 평가주석 데이터셋 EVAD 구축 방법론

Résumé

This study aims to introduce a methodology of building evaluation-annotated datasets based on evaluation triples that we extracted from reviews in fashion e-commerce applications. The evaluation triples defined in this study consist of a target, an aspect, and a value. We classified the aspect/value pairs into 35 categories, within three types: related to information, judgment or suggestion. The triples were represented under a set of Local Grammar Graphs based on the domain-specific dictionary DECO-DOM. By applying these linguistic resources to the target review texts, we generated a large-scale annotated dataset. In this study, the Semi-automatic Symbolic Propagation (SSP) methodology proposed by Nam (2021) was adopted to generate the EVAD dataset of about 200,000 review texts. The evaluation of the SSP approach shows an F1-score of 0.91, which confirms the reliability of the process.
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Dates et versions

hal-03565731 , version 1 (11-02-2022)

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Citer

Suwon Choi, Jeesun Nam. 이커머스 후기글 평가분석 트리플에 기반한 평가주석 데이터셋 EVAD 구축 방법론. The Journal of Linguistics Science, 2021, 99, pp.245-272. ⟨10.21296/jls.2021.12.99.245⟩. ⟨hal-03565731⟩

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