토픽 모델링에 기반한 온라인 상품 평점 예측을 위한 온라인 사용 후기 분석

다국어 초록 (Multilingual Abstract)

Customers have been affected by others’ opinions when they make a purchase. Thanks to the development of technologies, people are sharing their experiences such as reviews or ratings through online or social network services, However, although ratings are intuitive information for others, many reviews include only texts without ratings. Also, because of huge amount of reviews, customers and companies can’t read all of them so they are hard to evaluate to a product without ratings. Therefore, in this study, we propose a methodology to predict ratings based on reviews for a product. In a methodology, we first estimate the topic-review matrix using the Latent Dirichlet Allocation technic which is widely used in topic modeling. Next, we predict ratings based on the topic-review matrix using the artificial neural network model which is based on the backpropagation algorithm. Through experiments with actual reviews, we find that our methodology can predict ratings based on customers’ reviews. And our methodology performs better with reviews which include certain opinions. As a result, our study can be used for customers and companies that want to know exactly a product with ratings. Moreover, we hope that our study leads to the implementation of future studies that combine machine learning and topic modeling.

참고문헌 (Reference)

1 강범일, "토픽 모델링을 이용한 신문 자료의 오피니언 마이닝에 대한 연구" 한국문헌정보학회 47 (47): 315-334, 2013

2 강정은, "인공신경망을 활용한 서울시 도시기반시설 침수위험지역 분석" 대한토목학회 35 (35): 997-1006, 2015

3 심홍기, "인공신경망을 이용한 대대전투간 작전지속능력 예측" 한국지능정보시스템학회 14 (14): 25-39, 2008

4 채승훈, "사용자 리뷰를 통한 소셜커머스와 오픈마켓의 이용경험 비교분석" 한국지능정보시스템학회 21 (21): 53-77, 2015

5 Braun, L., "Towards Automatic Formulation of A Physician’s Information Needs" 2005

6 Song, Y., "Topic and Keyword Re-Ranking for LDAbased Topic Modeling" 1757-1760, 2009

7 Turney, P.D., "Thumbs Up or Thumbs Down? : Semantic Orientation Applied to Unsupervised Classification of Reviews" 417-424, 2002

8 Andrew, P.B., "The Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms" 30 (30): 1145-1159, 1997

9 Chevalier, J.A., "The Effect of Word of Mouth on Sales : Online Book Reviews" 43 (43): 345-354, 2006

10 Cui, G., "The Effect of Online Consumer Reviews on New Product Sales" 17 (17): 39-58, 2012

11 Park, D.H., "The Effect of On-line Consumer Reviews on Consumer Purchasing Intention : The Moderating Role of Involvement" 11 (11): 125-148, 2007

12 Lee, J., "The Effect of Negative Online Consumer Reviews on Product Attitude : An Information Processing View" 7 (7): 341-352, 2008

13 Blei, D.M., "Text Mining : Classification, Clustering, and Applications" Chapman and Hall/CRC 2009

14 Pang, B., "Seeing Stars : Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales" 115-124, 2005

15 Sun, Z., "Prediction of Protein Supersecondary Structures Based on the Artificial Neural Network Method" 10 (10): 763-769, 1997

16 Lu, Y., "Opinion Integration through Semi-Supervised Topic Modeling" 121-130, 2008

17 Statistic Korea, "Online Shopping in 2016"

18 Chatterjee, P., "Online Reviews : Do Consumers use Them?" 129-134, 2001

19 Bisgin, H., "Mining FDA Drug Labels Using An Unsupervised Learning Technique-Topic Modeling" 12 (12): 1-8, 2011

20 Tam, K.Y., "Managerial Applications of Neural Networks : The Case of Bank Failure Predictions" 38 (38): 926-947, 1992

21 Tsang, A.S., "Is A"star"Worth A Thousand Words? The Interplay between Product-Review Texts and Rating Valences" 43 (43): 1269-1280, 2009

22 황유섭, "Facilitating Web Service Taxonomy Generation : An Artificial Neural Network based Framework, A Prototype Systems, and Evaluation" 한국지능정보시스템학회 16 (16): 33-54, 2010

23 Minka, T., "Expectation-Propagation for The Generative Aspect Model" 352-359, 2002

24 Hong, L., "Empirical Study of Topic Modeling in Twitter" 80-88, 2010

25 Witten, I.H., "Data Mining : Practical Machine Learning Tools and Techniques, Morgan Kaufmann Series in Data Management Systems" 2005

26 Huang, Z., "Credit Rating Analysis with Support Vector Machines and Neural Networks : A Market Comparative Study" 37 (37): 543-558, 2004

27 Jo, H.K., "Bankruptcy Prediction Using Case-Based Reasoning, Neural Networks, and Discriminant Analysis" 13 (13): 97-108, 1997

28 Krizhevsky, A., "Advances in Neural Information Processing Systems" 1097-1105, 2012

29 Tang, H., "A Survey on Sentiment Detection of Reviews" 36 (36): 10760-10773, 2009