• Title/Summary/Keyword: 상품평 요약

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Review Analysis by using the Opinion Mining Techniques (오피니언 마이닝을 이용한 상품평 분석)

  • Song, Jun Seok;Cho, Kyung Soo;Kim, Ung-mo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.35-38
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    • 2010
  • 인터넷 시장이 빠르게 성장함에 따라 사용자들의 참여도가 매우 높아졌다. 인터넷 사용자들은 인터넷 쇼핑의 상품에 관한 의견을 웹 상에 표현하기 시작했고, 실제 소비자이 판단하는 데에 많은 영향을 미치고 있다. 하지만 현재에 들어 그 양이 엄청나게 방대해 졌기 때문에 사용자들이 원하는 정보만을 찾아내는 것은 어려운 일이다. 본 논문에서는 사용들이 작성한 인터넷 쇼핑에서 상품평에 관한 리뷰를 모아 방대한 양에서 오피니언 마이닝 기법을 이용해 유용한 정보를 효율적으로 도출해서 사용자가 원하는 정보를 요약하여 제공하는 방법을 제안한다. 이러한 방법을 통해서 사용자는 상품을 구매하기 전에 좀 더 객관적이고 효율적으로 판단을 내릴 수 있을 것이다.

Identifying Sentiment Polarity of Korean Vocabulary Using PMI (PMI를 이용한 우리말 어휘의 의미 극성 판단)

  • Song, Sang-Il;Lee, Dong-Joo;Lee, Sang-Goo
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06c
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    • pp.260-265
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    • 2010
  • 웹 2.0시대의 도래에 따라 많은 소비자들은 상품에 대한 다양한 의견을 표현할 수 있게 되었다. 이러한 의견들을 활용하여 상품평 요약 시스템 등이 개발되었다. 어휘의 의미 극성은 이러한 시스템에서 활용될 여지가 많은 요소이다. 영어의 경우 어휘의 의미 극성을 판단하는 연구가 많이 진행되어 어느 정도 결실을 맺었지만, 우리말의 경우 어휘의 의미 극성을 판단하는 연구는 아직 미흡하다. 본 논문에서는 우리말 어휘의 의미 극성을 PMI를 사용하여 판단한다. 또한 PMI를 우리말 어휘에 적용할 때 문제가 되는 이슈를 살펴보고 이에 대한 해결 방법들을 제시한다. 나아가 실제 상품 평에서 많이 쓰이는 형용사에 대하여, 제시한 의미 극성 판단 방법의 성능을 검증해 본다. 제시한 방법은 어휘의 의미 극성을 81%의 정확도로 판단해 주었다.

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Product Review Data and Sentiment Analytical Processing Modeling (상품 리뷰 데이터와 감성 분석 처리 모델링)

  • Yeon, Jong-Heum;Lee, Dong-Joo;Shim, Jun-Ho;Lee, Sang-Goo
    • The Journal of Society for e-Business Studies
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    • v.16 no.4
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    • pp.125-137
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    • 2011
  • Product reviews in online shopping sites can serve as a useful guideline to buying decisions of customers. However, due to the massive amount of such reviews, it is almost impossible for users to read all the product reviews. For this reason, e-commerce sites provide users with useful reviews or statistics of ratings on products that are manually chosen or calculated. Opinion mining or sentiment analysis is a study on automating above process that involves firstly analyzing users' reviews on a product to tell if a review contains positive or negative feedback, and secondly, providing a summarized report of users' opinions. Previous researches focus on either providing polarity of a user's opinion or summarizing user's opinion on a feature of a product that result in relatively low usage of information that a user review contains. Actual user reviews contains not only mere assessment of a product, but also dissatisfaction and flaws of a product that a user experiences. There are increasing needs for effective analysis on such criteria to help users on their decision-making process. This paper proposes a model that stores various types of user reviews in a data warehouse, and analyzes integrated reviews dynamically. Also, we analyze reviews of an online application shopping site with the proposed model.

University students' eating behavior and consumer attitude in social commerce service (소셜커머스 이용 대학생의 외식 행동 및 태도 분석)

  • Kim, Hyun-Ah
    • Journal of Nutrition and Health
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    • v.47 no.6
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    • pp.426-434
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    • 2014
  • Purpose: The purposes of this study were to investigate eating behavior of university students through social commerce and to analyze factors affecting university students' attitude regarding social commerce. Methods: Questionnaires were distributed to 445 university students in Changwon, Korea from March 28 to April 28, 2013. A total of 339 questionnaires were used for the final analysis, which excluded improperly-completed questionnaires. Results: The major factor considered for eating behavior through social commerce was price (37.2%). Purchasing experiences of foodservice products according to types of foodservice were 64.9% for coffee shop, 59.3% for fast food restaurant, 53.4% for family restaurant, 46.0% for specialty restaurant, 35.7% for pizza restaurant, 35.4% for buffet, and 31.9% for bakery. Factors affecting satisfaction with social commerce for purchasing foodservice products were 'service quality of foodservice company', 'communication of social commerce', and 'discount rate of social commerce'. Factors affecting repurchasing intention of foodservice products through social commerce were 'service quality of foodservice company', 'site design of social commerce', and 'discount rate of social commerce'. Conclusion: In order to increase satisfaction with social commerce, 'service quality of foodservice company', 'communication of social commerce', and 'discount rate of social commerce' should be increased. And, to increase repurchasing intention of social commerce, 'service quality of foodservice company', 'site design of social commerce', and 'discount rate of social commerce' should be increased. In addition, two factors 'service quality of foodservice' and 'discount rate of social commerce' were found to have an effect on satisfaction and repurchasing intention of social commerce. For development of social commerce and foodservice industry, cooperative relationship between social commerce and foodservice industry is needed, and a reasonable price strategy should be established. The university students considered price as a major factor of eating behaviors and did not consider menu and taste as a major factor. From a longer perspective, such an eating behavior would have an effect on university students' dietary life and it would cause nutrition and health problems for university students. Thus, it implied that further studies from the perspectives of nutrition and health regarding eating behavior through social commerce service should be conducted.