在线评论对电子书定价的影响:文本分析方法

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC) Pub Date : 2019-10-01 DOI:10.1109/BESC48373.2019.8963472

Kang Li, Lunchuan Zhang, W. Xu, Dinglu Pan, Wenping Zhang

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引用次数: 0

摘要

在本文中，我们通过分析来自电子书网站的大量在线数据来探讨在线评论如何影响电子书的价格。也就是说，我们首先采用基于领域本体的方法来选择可能影响电子书价格的最具区别性的特征。然后，应用主题建模方法潜狄利克雷分配和面向方面的情感分析方法作为补充。运用多元回归方法，找出可能影响电子书价格的关键属性，并给出相关回归方程。管理含义是，企业可以获得电子书的参考价格，并可以根据我们的数据分析结果动态调整价格以增加电子书的销售。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Effect of Online Reviews on E-book Pricing: A Text Analytics Approach

In this paper, we explore how online reviews affect e-book prices via analyzing the sheer volume online data from the e-book websites. Namely, we first employ a domain ontology-based method to select the most discriminative features that may affect the e-book prices. Then, the topic modeling method latent Dirichlet allocation and aspect-oriented sentiment analysis method are applied as a supplement. Using the multiple regression method, we identify the key attributes that may influence the prices of e-books and give the related regression equation. The managerial implication is that firms can obtain a reference price for an e-book and may dynamically adjust the price to increase e-book sales according to our data analysis results.

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来源期刊

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)

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