• K.Indravikas
• Dr.P.Venkateswar Rao

With the rapid advancement of technology, individuals are sharing their thoughts on various websites. The success of an online commercial platform heavily relies on the feedback provided by its users. Nowadays, not only commercial websites but also businesses such as hotels, banks, shops, and malls have a presence on the internet. These entities actively seek online ratings from their customers, who express their opinions based on the service received. These consumer sentiments are compiled into an 'opinion dataset' available online. The focus of the current research is on sentiment analysis for hotel reviews. By analyzing the opinions shared by hotel customers on websites, we can evaluate and compare different hotels. This research utilizes Machine Learning algorithms, specifically Naïve Bayes Algorithm and opinion Mining Algorithms, based on Natural Language Processing techniques. Sentiment Analysis, a machine learning technique, enables machines to comprehend human emotions. This ability to understand and extract valuable insights from human emotions is crucial for businesses to thrive and advance in their respective industries. In the context of hotel reviews, these reviews can be categorized into three subclasses: positive, negative, or neutral, allowing us to analyze the sentiment of customers. Hotel review analysis involves the examination of customer feedback on hotels to uncover valuable insights and patterns. This analysis can be conducted using various techniques, including sentiment analysis, topic modeling, and natural language processing. The abstract of a hotel review analysis provides a summary of the key findings and insights derived from the analysis. It may include information on the most frequently mentioned positive and negative aspects of the hotel, the amenities that are commonly highlighted, and the overall sentiment of customer feedback. Additionally, the abstract may identify any noteworthy trends or patterns in the data, such as changes in customer sentiment over time or variations in feedback across different demographics.

A FRAMEWORK FOR SENTIMENT ANALYSIS WITH OPINION MINING OF HOTEL REVIEWS

"A FRAMEWORK FOR SENTIMENT ANALYSIS WITH OPINION MINING OF HOTEL REVIEWS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.301-306, June-2024, Available :http://www.jetir.org/papers/JETIRGL06051.pdf

"A FRAMEWORK FOR SENTIMENT ANALYSIS WITH OPINION MINING OF HOTEL REVIEWS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp301-306, June-2024, Available at : http://www.jetir.org/papers/JETIRGL06051.pdf