Enhancing NEV Brand Equity Through Big Data Analytics: An LDA-LSTM Approach to Mining Online Consumer Reviews.

待确认 20 由梦中梵高发布于 2026/3/22 11:46:33

DOI:10.1177/2167647X251399169
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1177/2167647X251399169

Sage

Abstract：Enhancing brand value is critical for new energy vehicle (NEV) enterprises amid fierce competition. This study leverages online consumer reviews as core big data to drive brand equity improv

应助信息

等待求助人确认

求助人未确认前，本求助不能再次应助。36小时后系统将自动确认应助成功。本求助将自动关闭。

20小时前

xiulan09

9b115f5125c111f18d4434735aa3bc31.pdf

1天前

Book学术机器人

2026/3/22 11:46:33 未找到该文献，机器人已退出，请等待人工下载

2026/3/22 11:46:33 Book学术AI机器人收到请求，开始寻找文献

2026/3/22 11:46:33 已向机器人发送请求

1天前

梦中梵高发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:NatureAntimicrobial peptides: structure, functions and translational applications