智慧物流:基于 BERTopic的主题对比分析
首发时间:2024-04-26
摘要:智慧物流是当前物流业实现降本增效目标的关键路径。中国物流行业正积极响应并推动智慧物流的发展。智慧物流已在学术界与实务界得到广泛的关注,本研究以中国知网和中国物流与采购网两个平台作为比较研究对象,并分别代表学术界和实务界,利用BERTopic主题建模方法提取领域主题,对不同数据源维度下的领域主题及其演化进行跟踪,并对两个平台智慧物流的主题及其演化过程进行分析对比,旨在提升智慧物流的地位,促进传统物流行业的转型升级步伐。研究发现,基于不同平台的智慧物流数据主题提取结果及其呈现的知识演化脉络各有侧重;在出现某些重大技术变革或特殊事件时,实务界(CFLP)的响应速度更快,学术界(CNKI)则相对平缓且具有一定的前瞻性。
关键词: 智慧物流 对比分析 BERTopic 学术界 实务界
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Intelligent Logistics: Comparative Analysis of Topics based on BERTopic
Abstract:To achieve the basic goal of reducing costs and improving efficiency in the logistics industry, intelligent logistics is the critical path. China is actively engaged in developing intelligent logistics, which continues to attract considerable attention in academic and practice areas. This study compares China National Knowledge Infrastructure and China Federation of Logistics & Purchasing as representative platforms for academia and practice , respectively. With the help of the BERTopic topic modelling method, we extract domain topics and track the evolution of domain knowledge across different data source dimensions. Through comparative analysis of the theme and evolution of intelligent logistics across different data source dimensions, the aim is to elevate the status of intelligent logistics and facilitate the transformation and upgrading of the traditional logistics industry.Research findings:The results of topic extraction and the presentation of the evolutionary trajectory of knowledge based on a single data source each emphasise different aspects; During certain significant technological changes or special events, the practical sector (CFLP) tends to react more quickly, whereas the academic sector (CNKI) has a relatively slower pace and a certain degree of foresight.
Keywords: intelligent logistics comparative analysis BERTopic practice area academic area
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