The paper here describes the method of using NLP to summarize the text reviews of POIs in the Yelp dataset, which is the new way of POI reviews analysis. Although the need to use the Yelp dataset is justified well, the main facets of POI summarization are not explored in detail. Subsequently, for a more refined understanding of the approach, details of the preprocessing steps, NLP tasks, and the algorithms used are explained in greater detail; these include transformer-based models and sequence-to-sequence models. In addition, to support the evaluation, this paper provides explicit definitions for metrics such as ROUGE and BLEU as well as explanation of why these metrics can be used to summarize Yelp reviews. Furthermore, comparison with baseline methodologies has been provided along with the limitation and implication part of the proposed study.