情报科学 ›› 2023, Vol. 41 ›› Issue (5): 144-152.

• 业务研究 • 上一篇    下一篇

基于在线消费评价的亲子阅读偏好可视化研究

  

  • 出版日期:2023-05-05 发布日期:2023-06-05

  • Online:2023-05-05 Published:2023-06-05

摘要: 【目的/意义】探究亲子阅读偏好对引导亲子读物选购具有重要的参考价值,通过对亲子读物的在线消费评 价进行分析,深度挖掘影响亲子阅读偏好的维度要素,对提高亲子阅读质量和兴趣具有理论意义与实践价值。【方 法/过程】从材质材料、形式形态、主题内容、社会感知价值四个维度对亲子阅读偏好进行评价,建立基于情感词典 的在线消费评价偏好模型,对评论文本进行情感词抽取及情感值计算,获取在线消费评价中情感数据,绘制在线消 费评价的偏好词标签云和动态偏好趋势曲线。【结果/结论】在线消费评价分析结果表明,幼儿更易被材料环保、形 式独特的读物吸引;随着认知阶段的发展,亲子阅读偏好逐渐转向对主题内容的关注;注重提升社会感知价值。【创 新/局限】本文构建亲子阅读偏好的评价模型,围绕亲子阅读的偏好维度对在线消费评价情感进行可视化分析。本 文仅通过情感分析技术提取在线消费评价中的情感数据,未结合对具体消费者的深度访谈,未能全面概述基于在 线消费评价的亲子阅读偏好情况。

Abstract: 【Purpose/significance】Exploring parent-child reading preferences has important reference value in guiding the purchase of parent-child reading materials. By analyzing the online consumption evaluation of parent-child reading materials, we can deeply ex⁃ plore the dimensional elements that affect parent-child reading preferences, which has theoretical significance and practical value in improving the quality and interest of parent-child reading【. Method/process】Evaluate parent-child reading preferences from four di⁃ mensions: material, form, theme content, and social perceived value. Establish an online consumption evaluation preference model based on an emotional dictionary, extract emotional words and calculate emotional values from comment texts, obtain emotional data in online consumption evaluation, and draw a preference word label cloud and dynamic preference trend curve for online consumption evaluation【. Result/conclusion】The results of online consumption evaluation analysis indicate that young children are more likely to be attracted to environmentally friendly materials and unique forms of reading materials; With the development of cognitive stage, parentchild reading preferences gradually shift towards focusing on the theme content; Pay attention to enhancing social perceived value【. In⁃ novation/limitation】This article constructs an evaluation model for parent-child reading preferences, and visualizes the emotional evaluation of online consumption around the dimension of parent-child reading preferences. This article only extracts emotional data from online consumption evaluation through sentiment analysis technology, without conducting in-depth interviews with specific con⁃ sumers, and fails to provide a comprehensive overview of parent-child reading preferences based on online consumption evaluation.