[1]申 彦,刘春华.基于在线品牌社区意见领袖的用户关键需求挖掘[J].计算机技术与发展,2024,34(02):23-31.[doi:10. 3969 / j. issn. 1673-629X. 2024. 02. 004]
 SHEN Yan,LIU Chun-hua.Users’ Key Demands Mining Based on Opinion Leaders in Online Band Community[J].,2024,34(02):23-31.[doi:10. 3969 / j. issn. 1673-629X. 2024. 02. 004]
点击复制

基于在线品牌社区意见领袖的用户关键需求挖掘()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
34
期数:
2024年02期
页码:
23-31
栏目:
大数据与云计算
出版日期:
2024-02-10

文章信息/Info

Title:
Users’ Key Demands Mining Based on Opinion Leaders in Online Band Community
文章编号:
1673-629X(2024)02-0023-09
作者:
申 彦1 刘春华2
1. 江苏大学 信息管理与信息系统系,江苏 镇江 212013;
2. 江苏大学 计算机科学与通信工程学院,江苏 镇江 212013
Author(s):
SHEN Yan1 LIU Chun-hua2
1. Department of Information Management and Information System,Jiangsu University,Zhenjiang 212013,China;
2. School of Computer Science and Communication Engineering,Jiangsu University,Zhenjiang 212013,China
关键词:
用户需求挖掘在线品牌社区KANO 模型用户评论意见领袖
Keywords:
users’ demands miningonline brand communityKANO modelusers爷 reviewsopinion leaders
分类号:
TP391
DOI:
10. 3969 / j. issn. 1673-629X. 2024. 02. 004
摘要:
随着社会的快速发展以及技术的不断进步,人们生活节奏不断加快,对产品的需求也在快速发生着变化。 在线评论是目前用户需求表达的重要渠道。 为克服不加区分挖掘所有评论的传统用
户需求挖掘方法耗时过长,难以聚焦用户关键需求的问题,从用户关键性与需求关键性的双关键性角度出发,研发了一种基于在线品牌社区意见领袖的用户关键需求挖掘方法以快速获取用户
重要需求,简称 KEY-DEMANDS-OL。 该方法依据帕累托法则,依托意见领袖评论大数据,采用优化的情感程度及初始改进率,结合 KANO 模型对用户关键需求进行挖掘。 该方法不仅考虑了程度副词的语义信息,提高了情感分析的准确率,而且能够完成意见领袖的生成内容与 KANO 模型的自动整合,实现用户关键需求的获取与分类。 研究结果表明,与挖掘所有评论的传统方法
相比,KEY-DEMANDS-OL 可以快速获取用户的关键需求,为企业制定产品优化方案提供辅助决策支持。
Abstract:
With the rapid development of society and the continuous progress of technology,the pace of people’s lives is constantly accelerating. At the same time, people’ s demand for products
is also rapidly changing. Currently, the online reviews are the importantchannels through which the users can express their demands. To overcome the problem that the traditional user demand mining method ofmining all comments without discriminating takes too long and is difficult to focus on the key needs of users,starting from both the keyusers and the key demands, a method for users’ key demands mining based on the opinion leaders in online brand community isdeveloped to quickly obtain the users’ important demands,which can
be called KEY-DEMANDS-OL for short. It discovers the users’key demands integrated with KANO model based on the reviews big data of opinion leaders according to the Pareto principle,which alsoimproves the initial improvement rates and the emotional degree. This novel method increased the accuracy of emotional analysis bytaking the semantics of degree adverbs into account. In addition,it can integrate the UGC of opinion leaders with the KANO model automatically and obtain the users’ key demands and the category of the demands. The research showed that comparing to the traditionalmethod that mining all the uses’ reviews,the KEY-DEMANDS-OL can obtain the key demands of users quickly and provide auxiliarydecision-making support for enterprises to develop product optimization plans.
更新日期/Last Update: 2024-02-10