Abstract
The purpose of this study is to find a way to develop the food service industry through analysis of research trends related to the restaurant industry.
 In this study, through detailed search on RISS, 269 papers related to 'food service' with English abstracts were analyzed using R package to analyze keyword frequency, word clouding, keyword network analysis, LDA topic modeling, and TF, TF.-IDF verification was performed. The analysis results are as follows.
 First, as a result of keyword frequency analysis and word clouding, it was found that keywords related to food, service, restaurant, customer, intention, consumer, relationship, industry, satisfaction, company, etc. were frequently used.
 Second, as a result of word network analysis, service, restaurant, customer, and quality are connected centering on food. Management and performance, sns and type are separately connected. Brand, life, trust, menu, franchise, risk, etc. are being studied separately.
 Third, as a result of TF and TF-IDF analysis, the words in TF-IDF (eg, consultant, justice, blog, honbob, shop, globalization, leisure, coaching, complain, dakgalbi, label) in TF-IDF were not found in studies related to food service. It can be seen that related studies across various industries are also included.
 Finally, as a result of LDA topic modeling, the appropriate number of topics is 8, and each characteristic is defined as purchasing behavior, franchise, corporate strategy, workers, well-being, tourism, selection attributes, and environment. Topics 1 to 4 account for 74.2% of the total IDM.
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