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基于模糊情感计算的用户品牌转换意图预测算法

Prediction Algorithm of User's Brand Conversion Intention Based on Fuzzy Emotion Calculation.

作者信息

Ma Youwen

机构信息

School of Media and Communication, Shanghai Jiao Tong University, Shanghai, China.

出版信息

Front Psychol. 2022 May 26;13:907035. doi: 10.3389/fpsyg.2022.907035. eCollection 2022.

Abstract

Branding is a magic weapon for enterprises to participate in international competition, and empowering enterprises through branding has become a national strategy in the new era. Economic and social development has won wide acclaim from the international community, but enterprises generally have the problem of being "big but not strong", which is not matching with long history and great power influence. The brand bottleneck of Chinese enterprises has been highlighted. Recent brand theory research has been fruitful on the whole, but there are also some weak links, among which "the mechanism of enterprise brand value formation" is a research theme to be strengthened. This paper presents a number of suggestions for the formation of corporate brand value. The empirical analysis was conducted using valid data. The results found that: customer involvement behavior has a significant positive influence on customer citizenship behavior and customer experience value. Customer experience value has a significant positive influence on customer satisfaction and customer commitment. It plays a mediating effect in the relationship between the influence of customer involvement behavior on customer satisfaction and customer commitment, respectively. Customer satisfaction has a significant positive influence on customer commitment, and plays a mediating customer commitment has a significant positive effect on customer citizenship behavior and mediates the effect of customer experience value on customer citizenship behavior. The experimental results show that: the accuracy of crop color recognition by this method is high, and it has the advantages of faster computational efficiency and higher computational accuracy compared with other algorithms, thus verifying the reliability of the algorithm. Based on the fuzzy sentiment of online reviews, this paper improves the continuous use model ECM-ISC and formulates the inference rules of fuzzy affiliation function, and verifies the brand conversion intention and brand conversion type of cell phones by example calculation, which has good accuracy and generality and has important practical significance for brand marketing and early warning management. In addition, the use of brand economics in the study of corporate brand positioning is a development and innovation of brand economics.

摘要

品牌是企业参与国际竞争的法宝,以品牌赋能企业已成为新时代的国家战略。经济社会发展赢得国际社会广泛赞誉,但企业普遍存在“大而不强”的问题,与悠久历史和大国影响力不相匹配。中国企业的品牌瓶颈凸显。近期品牌理论研究总体成果丰硕,但也存在一些薄弱环节,其中“企业品牌价值形成机制”是有待加强的研究主题。本文针对企业品牌价值形成提出若干建议。利用有效数据进行实证分析。结果发现:顾客参与行为对顾客公民行为和顾客体验价值有显著正向影响。顾客体验价值对顾客满意度和顾客承诺有显著正向影响。它分别在顾客参与行为对顾客满意度和顾客承诺的影响关系中起中介作用。顾客满意度对顾客承诺有显著正向影响,且顾客承诺在顾客公民行为中起中介作用,顾客承诺对顾客公民行为有显著正向影响,并在顾客体验价值对顾客公民行为的影响中起中介作用。实验结果表明:该方法对作物颜色识别准确率高,与其他算法相比具有计算效率更快、计算精度更高的优点,从而验证了算法的可靠性。基于在线评论的模糊情感,本文改进了持续使用模型ECM - ISC,制定了模糊隶属函数的推理规则,并通过实例计算验证了手机的品牌转换意向和品牌转换类型,具有良好的准确性和通用性,对品牌营销和预警管理具有重要现实意义。此外,将品牌经济学用于企业品牌定位研究是品牌经济学的发展与创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d9f/9204640/0073ae036ecd/fpsyg-13-907035-g0001.jpg

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