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基于文本分析的预制菜市场消费倾向研究
Research on Consumption Tendency of Prefabricated Vegetable Market Based on Text Analysis

DOI: 10.12677/sa.2024.133077, PP. 758-765

Keywords: 预制菜,语义网络,LDA-Coherence主题模型,情感分析
Pre-Made Dishes
, Semantic Web, LDA-Coherence Topic Model, Sentiment Analysis

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Abstract:

本文旨在研究预制菜市场中消费者的消费现状,并聚焦预制菜消费者的行为,总结消费者关注重点。基于此,本文通过Python爬虫获取重点预制菜企业商品的评论数据,运用语义网络分析与LDA-coherence主题评价模型进行了文本挖掘,提取出多个关键词作为调查维度,以期了解对影响消费者购买预制菜意愿的因素,并作出如下总结:消费者评论关键词可以分为5个维度:产品质量、产品价格、口感味道、简单快捷、物流运输。73.62%的评论是非消极的情绪,表明大多数消费者对预制菜的现状和发展持乐观和期待态度。
The purpose of this paper is to study the current consumption status of consumers in the prefabricated food market, focus on the behavior of prefabricated food consumers, and summarize the key points of consumer concern. Based on this, this paper obtains the review data of key prefabricated food enterprises through a Python crawler, uses semantic network analysis and LDA-coherence topic evaluation model to carry out text mining, and extracts multiple keywords as survey dimensions, in order to understand the factors affecting consumers’ willingness to buy prefabricated dishes, and makes the following summary: consumer review keywords can be divided into five dimensions: product quality, product price, taste and taste, simple and fast, and logistics and transportation. 73.62% of the reviews were non-negative, indicating that most consumers are optimistic and expectant about the current situation and development of pre-made dishes.

References

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