HOTEL REVIEWS SENTIMENT ANALYSIS USING MACHINE LEARNING

Abstract

Hotel review analysis is a process of analyzing customer feedback on hotels to extract useful insights and patterns.This analysis can be done through various techniques such as sentiment analysis, topic modeling, and natural language processing.The abstract of a hotel review analysis would summarize the key findings and insights obtained from the analysis.This could include information on the most common positive and negative aspects of the hotel, the most commonly mentioned amenities, and the sentiment of customer feedback.The abstract may also highlight any notable trends or patterns in the data, such as changes in customer sentiment over time or differences in feedback across different demographics.A hotel review analysis abstract would provide a concise and informative summary of the key takeaways from the analysis, helping stakeholders to understand customer feedback and make data-driven decisions to improve their hotel offerings.