[Objective] This paper proposes a method to extract product characteristics from user comments, aiming to address the issues facing hedonic price research. [Methods] First, we extracted keywords from user comments. Then, we retrieved the product characteristics favored by consumers through keywords clustering, and established the hedonic price model. Finally, we examined the proposed model with the sales of new properties in Guangzhou. [Results] We found seven real estate characteristics of significant consumer preferences from the user comments. The degree of fitting of the model reached 0.760, the DW statistic was 2.013, and the correlation coefficient between user preferences and price of the real estates was 0.989. [Limitations] The experimental data was collected from real estate website only. [Conclusions] The new model based on users comments could accurately evaluate the price of products. It also helps us effectively avoid multiple collinearity problems between independent variables and further explore business and consumer behaviors.
文秀贤,徐健. 基于用户评论的商品特征提取及特征价格研究 *[J]. 数据分析与知识发现, 2019, 3(7): 42-51.
Xiuxian Wen,Jian Xu. Research on Product Characteristics Extraction and Hedonic Price Based on User Comments. Data Analysis and Knowledge Discovery, 2019, 3(7): 42-51.
Lancaster K J . A New Approach to Consumer Theory[J]. Journal of Political Economy, 1966,74(2):132-157.
[2]
Rosen S . Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition[J]. Journal of Political Economy, 1974,82(1):34-55.
[3]
Laurice J, Bhattacharya R . Prediction Performance of a Hedonic Pricing Model for Housing[J]. The Appraisal Journal, 2005,73(2):198-209.
[4]
Belcher R N, Chisholm R A . Tropical Vegetation and Residential Property Value: A Hedonic Pricing Analysis in Singapore[J]. Ecological Economics, 2018,149:149-159.
[5]
袁建文 . 关于房价定价模型的探讨[J]. 统计与决策, 2009(15):10-13.
[5]
( Yuan Jianwen . Discussion on the Pricing Model of House Price[J]. Statistics and Decision, 2009(15):10-13.)
( Tang Qingyuan, Xu Wei, Ai Fuli . A GWR-Based Study on Spatial Patten and Structural Determinants of Shanghai’s Housing Price[J]. Economic Geography, 2012,32(2):52-58.)
( Li Xindian, Zhu Enwei, Liu Hongyu , et al. Spatial Distribution of Constant-quality Housing Price —— Based on a Semi-Parametric Hedonic Pricing Model[J]. Price Theory and Practice, 2018(1):61-64.)
[8]
Gibbs C, Guttentag D, Gretzel U , et al. Pricing in the Sharing Economy: A Hedonic Pricing Model Applied to Airbnb Listings[J]. Journal of Travel & Tourism Marketing, 2018,35(1):46-56.
[9]
Liebelt V, Bartke S, Schwarz N . Hedonic Pricing Analysis of the Influence of Urban Green Spaces onto Residential Prices: The Case of Leipzig, Germany[J]. European Planning Studies, 2018,26(1):133-157.
( Cai Zhen, Wang Lina . Price Dispersion in Beijing Housing Market: An Estimation Based on Hedonic Method[J]. Chinese Review of Financial Studies, 2012,4(6):11-33, 121.)
[12]
Mikolov T, Sutskever I, Chen K, et al. Distributed Representations of Words and Phrases and Their Compositionality [C]// Proceedings of the 2013 Neural Information Processing Systems. 2013: 3111-3119.
[13]
Chen X, Zhang Y, Cao L, et al. An Improved Feature Selection Method for Chinese Short Texts Clustering Based on HowNet [C]// Proceedings of the 2013 International Conference on Computer Engineering and Network. 2014: 635-642.
[14]
常鹏 . 基于词共现的文本主题挖掘模型和算法研究[D]. 天津: 天津大学, 2010.
[14]
( Chang Peng . Research on Terms Co-occurrence Based Models and Algorithms for Text Mining[D]. Tianjin: Tianjin University, 2010.)
( Peng Yun, Wan Changxuan, Jiang Tengjiao , et al. Extracting Product Aspects and User Opinions Based on Semantic Constrained LDA Model[J]. Journal of Software, 2017,28(3):676-693.)
[16]
Liu Y, Pi D, Cheng Q . Ensemble Kernel Method: SVM Classification Based on Game Theory[J]. Journal of Systems Engineering and Electronics, 2016,27(1):251-259.
( Li Weiqing, Wang Weijun . Building Product Feature Dictionary with Large-Scale Review Data[J]. Data Analysis and Knowledge Discovery, 2018,2(1):41-50.)
[18]
Comparison of the K-Means and MiniBatchKMeans Clustering Algorithms[EB/OL]. [ 2018- 03- 29]. .
[19]
Sculley D. Web-Scale K-Means Clustering[EB/OL]. [ 2018- 03- 29]. .
[20]
Sirmans G S, Macpherson D A, Zietz E N . The Composition of Hedonic Pricing Models[J]. Journal of Real Estate Literature, 2005,13(1):3-34.
