Restaurant Reviews Analysis Model Based on Machine Learning Algorithms

In recent years, the emergence of a variety of social media has dramatically enriched people's lives and generated a massive amount of data, which has provided great opportunities and challenges for the application of building a data-driven machine learning analysis model. Due to its high commercial value, customer review data are continuously collected and analyzed by various merchants or networks. Through the analysis of consumers' dining experience and the evaluation of the restaurant's food and service, the restaurant can continuously adjust its business strategy, which is of high economic value to the restaurant. As for consumers, they can avoid unpleasant dining experience and have a better experience of local specialty food by looking at people's reviews. The analysis model based on machine learning algorithms and big data can efficiently and accurately extract the critical letters in customer reviews, predict customer behavior, and proofread the accuracy of reviews to achieve a win-win situation for restaurants and consumers, to strive for the maximum economic benefits.