Sentiment Analysis Of Online Hotel Reviews Using Machine Learning Methods

Dilara Ceren Moral

This project shows a Python-based Natural Language Processing (NLP) study of online hotel reviews. This study's goal was to do sentiment analysis on a dataset derived from TripAdvisor user reviews that was obtained through the Kaggle platform. In this NLP study, deep learning methods, TensorFlow, and Sklearn were the key libraries used. Machine learning models, such as Logistic Regression, were created and tested for sentiment analysis. A deep learning model built on TensorFlow was further used. The most accurate classifier was the Logistic Regression model, which on the training set had an ac ...Daha fazlası