A Study Of Restaurant Consumers’ Attention Preferences Based On Online Reviews

The development of the Internet has brought a new wind to the catering industry.The combination of online and offline has also won the favor of many consumers,making online reviews also enhance the reference value.Online reviews contain information about food and beverage consumers’ concerns and preferences.For consumers,these information can help them make decisions faster and better;For catering businesses,they can grasp the market orientation and attract more consumers;For e-commerce platforms,consumer preference information also involves relevant suggestions on the platform to improve the platform management efficiency,merchant occupancy rate and consumer utilization rate.Focusing on these contents,this paper carried out the following work to study the preferences of catering consumers: First,data acquisition and processing.This paper took the Meituan platform Zhengzhou stores as the object,crawled 301 stores using the Octopus collector,with a total of 100034 comment data,and then completed the data preprocessing by jieba segmentation,removing the stop words and other methods.Secondly,using natural language processing technology to construct an LSTM model for emotion classification: After data preprocessing processes such as jieba word segmentation and removing inactive words,the Word2vec model is used for text vectorization processing,and then an LSTM model is constructed to complete emotion classification.The results show that the classification effect is very significant.Thirdly,according to the LSTM emotion classification results,the LDA model is constructed based on the classification results,and the subject features are extracted separately.The text is visualized by using the word cloud image and other content to more clearly determine the content of consumer concern.Fourth,empirical analysis,referring to relevant literature,this paper constructs an index system based on the keyword classification of the subject words extracted from the previous article,calculates the index according to the proportion of word frequency,and puts forward assumptions about consumer preferences according to the dimensions of the division,uses statistical software SPSS to carry out correlation analysis and build a ridge regression model.According to the comprehensive empirical results,the online review data has been subdivided into six dimensions,namely,brand building,service level,dishes and ingredients,health and safety,commodity value,and preference degree.Through the research on the influencing factors of preference degree,it is found that the influence degree of the variables is health and safety,brand building,commodity value,dishes and ingredients,and service level,and all present positive correlation significance.The concerns and preferences of catering consumers can be summarized as follows:Firstly,catering consumers pay special attention to health and safety,and businesses should also focus on this field to improve the quality of health and food safety;Secondly,Food and beverage consumers also value brand building,and businesses should not be limited to brand promotion,but also make efforts in environmental construction and style building;Thirdly,At the same time,catering consumers will also pay attention to the special services provided by businesses.