In this project, I used on social media posts and customer reviews in order to automatically understand if some users are positive or negative and why. The dataset listed with real-world reviews posts from Booking.com. The dataset is hosted by Kaggle, originally The data was scraped from Booking.com, and originally owned by Booking.com. This dataset contains 515,000 customer reviews and scoring of 1493 luxury hotels across Europe. I use Machine Learning techniques and Natural Language Processing (NLP) to analyze the reviews, and build Classification Models that aim to predict the emotion behind the reviews. I also perform various methods of data visualization and communication to convey findings and actionable insights.

• 1. NLP With Hotel Review Part 1 EDA and NLP process
• 2. NLP With Hotel Review Part 2 Modeling