Research On The Experience Of Catering Project Based On Topic Modeling

With the improvement of people’s living standards,people’s demand for catering is also rising.The catering industry has entered a new period of development,with new trends,new opportunities,new ideas and new models emerging endlessly.At the present stage,catering consumers are no longer satisfied with the traditional "flowing water" type of service,but pay more attention to the satisfaction of individual needs.In order to better adapt to the changing needs of consumers,restaurants must constantly improve their service level.Effective management and innovation of catering service can make its life cycle longer,better adapt to the development trend of consumption,improve customer satisfaction,and bring more economic and social value to the enterprise.With the advent of the era of experience economy,more and more catering enterprises not only provide traditional catering products to customers,but also make use of a variety of innovative services to satisfy customers,so as to improve their competitiveness.Haidilao,as a typical representative of Sichuan and Chongqing hot pot and the top of the hot pot enterprises,is undoubtedly a model of service innovation among many catering enterprises.In existing studies,corresponding questions are usually put forward in advance based on questionnaires and experimental studies to investigate and understand the factors affecting satisfaction in catering industry.However,with the rapid development of the Internet and the popularity of mobile Internet,many catering enterprises will use group buying,e-commerce and other Internet platforms to publicize their stores and their products and services.When choosing a restaurant,people tend to have a multi-dimensional understanding of the restaurant first,and also get used to reviewing the restaurant after the meal,which brings a huge amount of user-generated content.In this new business environment,compared with the information published by the restaurant itself,these user-generated content not only allows consumers to talk about their dining experience,but also provides other consumers with more objective suggestions and references.And the restaurant itself can reflect on its own operation mode and service quality through these evaluations.Therefore,text mining through these user-generated content is of great significance.This thesis conducts a big data analysis and research on consumer experience review data of Dianping’s six hot pot stores in Beijing and Shanghai,two first-tier cities.Topic modeling and sentiment analysis were used to conduct text mining for comments,and hypothesis testing was conducted according to the variables obtained from text mining.Based on the results of text mining and empirical analysis,research conclusions are drawn and strategic suggestions are put forward for the operation and development of Haidilao,aiming at providing helpful help and suggestions for the steady development of Haidilao and providing reference for other catering enterprises to a certain extent.