Restaurant-review-using-NLP

This is a restaurant reviewer model which was bulit using the concept of NLP. It was built Jupyter notebook on python version 3.10. One of the most effective tools any restaurant has is the ability to track food and beverage sales daily. Currently, Recommender systems plays an important role in both academia and industry. These are very helpful for managing information overload. In this paper, we applied machine learning techniques for user reviews and analyze valuable information in the reviews. Reviews are useful for making decisions for both customers and owners. We build a machine learning model with Natural Language Processing techniques that can capture the user's opinions from users’ reviews. For experimentation, the python language was used We used python language for implementing classification algorithms. Python provides vast number of packages for implementing ML models. python’s scikit-learn library is used for machine learning tasks. For applying NLP techniques, python provides NLTK(Natural Language Processing Toolkit). We applied three vectorizer models with various ML algorithms.