This kind of data can often come as a good complementary source in data science projects in order to extract more learning features and increase the predictive power of the models.Here is the link to the original Jupyter notebook on Github:jonathanoheix/Sentiment-analysis-with-hotel-reviewsSentiment analysis and text classification with Python – jonathanoheix/Sentiment-analysis-with-hotel-reviewsgithub.comAlso on Kaggle:Sentiment analysis with hotel reviews | Kagglewww.kaggle.comMy LinkedIn profile:https://www.linkedin.com/in/jonathanoheix/. More details