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Restaurant Review System is a Flask-based web application that allows restaurant owners to analyze and visualize customer reviews. This platform leverages natural language processing (NLP) techniques using the Natural Language Toolkit (NLTK) and TextBlob in Python.
Restaurant Review Analysis. "Thrilled to unveil my latest project on Streamlit - a cutting-edge restaurant review ML model 🍽️🔍 Using innovative AI technology, share your feedback and predict to model. Join me on LinkedIn to explore the future of culinary exploration! #AI #MachineLearning #Streamlit #RestaurantReviews" .
Restaurant Review Analysis. "Thrilled to unveil my latest project on Streamlit - a cutting-edge restaurant review ML model 🍽️🔍 Using innovative AI technology, share your feedback and predict to model. Join me on LinkedIn to explore the future of culinary exploration! #AI #MachineLearning #Streamlit #RestaurantReviews".
Created a fully functional restaurant reviews app with React, allowing users to search for restaurants in their area using Google places API for live data and real time reviews. Users are also able to add new restaurants, add new full review feedback.
Dependency parsing was used to extract relevant information from a review in order to predict the sentiment of a given aspect term. Different machine learning models such as Naïve Bayes, Logistic Regression, Support Vector Classifier and Neural Networks were used to make predictions. A maximum accuracy score of 0.74 on the test dataset was achie…