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基于评论文本情感分析的产品扩散建模与仿真

发表时间:2019-12-31  浏览量:437  下载量:52
全部作者: 黄逸雨,江资斌
作者单位: 湖南大学工商管理学院
摘 要: 在线评论信息包含用户主观情感、购物体验等多重信息,可为企业产品改善与创新提供参考依据。本文构建基于文本评论挖掘数据的巴斯扩散模型,运用AnyLogic仿真模拟产品的扩散过程,以利用评论数据对实际生产研发进行优化。仿真实验以智能手环为实例,分析在线评论得出潜在消费者关注产品质量的同时,也会受产品评论的影响而产生购买行为;产品研发创新有利于提高产品质量和产品正面评论率,促进产品的扩散及利润的提升。
关 键 词: 计算机应用;评论数据挖掘;情感分析;巴斯扩散模型
Title: Product diffusion modeling and simulation based on sentiment analysis of comment text
Author: HUANG Yiyu, JIANG Zibin
Organization: School of Business Administration, Hunan University
Abstract: Online comment includes user’s subjective emotion, shopping experience and so on, which can provide the reference for the enterprise to improve and innovate the product. In this paper, Bass diffusion model is constructed based on text comment mining data, and AnyLogic simulation is run to simulate the product diffusion process, so as to optimize the actual production research and development using comment data. Intelligent bracelet is selected as the experimental object in simulation experiment. Simulation analysis shows that potential consumers pay attention to the product quality, and at the same time, they will also be affected by the product comment to purchase goods. Product research and development, and innovation can improve the product quality and the positive comment rate, to promote the product diffusion and increase profits.
Key words: computer applications; comment data mining; sentiment analysis; Bass diffusion model
发表期数: 2019年12月第6期
引用格式: 黄逸雨,江资斌. 基于评论文本情感分析的产品扩散建模与仿真[J]. 中国科技论文在线精品论文,2019,12(6):905-914.
 
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