restaurant-reviews
There are 54 repositories under restaurant-reviews topic.
clips/cat
cat🐈: the repo for the paper "Embarrassingly Simple Unsupervised Aspect extraction"
akshitvjain/restaurant-finder-featureReviews
Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).
abhi7585/Restaurant-Review-Sentiment-Analysis
This is the project that I created while working at TCS iON. The model is deployed on Heroku using Flask.
AzharRivaldi/RestoFinder
Pencarian Restoran dengan Zomato API
Tsuna-mi/mws-restaurant
🍽️ 🌟MWS-Restaurant-Reviews🌟. Nanodegree Mobile Web Specilist.
Ripe-Apples/app
Ripe Apples - A Restaurant Review Aggregator
aungttant/YourChoice
Collaboration for my GitHub students (Batch-2) | **Checkout** : https://aungttant.github.io/YourChoice/
eftekhar-hossain/Bengali-Restaurant-Reviews
[IEEE'19] [Dataset] Sentiment Analysis of Bengali Texts on Online Restaurant Reviews Using Multinomial Naive Bayes
mohamedsgap/restaurant-reviews
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.
R-H-T/mws-restaurant-stage-1
Mobile Web Specialist Restaurant Reviews App: Stage 3
Vikranth3140/Restaurant-Review-Analysis-System
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.
Abhijit460/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.
FoxyStoat/restaurant-reviews-app
Project 6 for FEND Udacity / Convert a static design that lacks accessibility to be responsive on different sized displays and accessible for screen reader use. A service worker is used for creating a seamless offline experience for the users.
gabll/Metis-Kojak
Recommendation engine on restaurant reviews
issacchan26/CustomerReviewClassificationWithBERT
OpenTable Reviews Classification with BERT and Transfer Learning
JeremieLitzler/mws-restaurant-stage-1
Mobile Web Specialist ND Restaurant Reviews App: Stage 1
themarcusbennett/AntoniosItalianCuisine
Authentic Restaurant Design Website
2000pawan/Restaurant-Review-System
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".
2000pawan/Review-Analysis
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" .
Abuzariii/NLP-Binary-Text-Classification
Multiple Modeling Experiments for Binary Restaurant Review Classification, including CNNs, RNNs and DNNs.
alibakh62/Zomato-API
A repo to query Zomato API
ankita1112/Sentiment-analysis-algorithm
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 achieved using Bidirectional LSTM model.
attaradev/restaurant-reviews
My submission for Udacity's MWS Restaurant Reviews App Project Stage 3
minismith/word-of-mouth
A mobile-first web application in Ruby on Rails that connects you to your friends via restaurant reviews. Created at Le Wagon.
nikhilsindhu/restro-finder
Restro Finder is an application that helps users discover the best restaurants and cuisines around them
nimit95/mws-restaurant-stage-3
Udacity MWS Nanodegree project 3
singhvks/Review_analysis
NLP - NLTK - Restaurant review analysis
vyshaal/yelp-review-analysis
Discovering latent features in restaurant reviews using Topic Modeling
yogeshnile/Restaurant-Review-Sentiment-Analysis
In this repo i have develop a Sentiment Analysis of Restaurant Reviews project in machine learning using NLP, and i am using nltk Library for NLP. Deployed in heroku.
yogeshnile/Sentiment-Analysis-of-Restaurant-Reviews
In this repo I have develop a Sentiment Analysis of Restaurant Reviews project in machine learning using NLP.
danagh1/Sentiment-Analysis-For-Restaurant-Reviews-using-NLP
This project performs sentiment analysis on restaurant reviews using Natural Language Processing (NLP) techniques in Python. It utilizes various machine learning algorithms, including Multinomial Naive Bayes, Bernoulli Naive Bayes, and Logistic Regression, to classify reviews as liked or disliked.
hilarylim/SentimentAnalysis
Simple hypothesis testing and sentimental analysis for beginners
necaprogramer/restaurant-review-project
This is a project which uses YELP API to obtain data about restaurants in San Jose area and displays their information on a webpage.
NicoGiglio/No-Country-2nd-Project---Yumiverse
Mobile UI Testing Activities and Code Reviewing in NoCountry 2nd Project MVP Delivery - Open to updates in Automation Testing