This is a non-commercial research project using data provided by Yelp

Dine Smart is a database management system offering tailored restaurant recommendations by leveraging Yelp data

yelp(美版大众点评)点评数据分析与推荐项目前端仓库，是集成了大数据分析及可视化，以及大数据应用开发的WebApp应用.

A PyTorch implementation of the DRR framework (deep reinforcement learning, DDPG, PER, PMF) as it applies to restaurant recommendation.

Natural Language Processing | BRACU

Este proyecto es el proyecto final grupal del curso de Data Science de la Academia Soy Henry. El proyecto implica el análisis de un conjunto de datos de Yelp, donde analizamos el sector de restaurantes mexicanos en los Estados Unidos.

Desarrollo de un Data Product mediante el análisis del mercado estadounidense de comida vegetariana y afines, usando datos de Yelp y Google Maps

Recommender System in PySpark using Yelp dataset.

Creating a data pipeline from S3 to snowflake to prep text data for natural language processing

Top-K POI project with public Yelp data; for a CWRU group project

A complete data product project used to study concepts related to data enginerring such as modeling, collection, operations and so on.

Hey there! I'm SentimentScan, your go-to web app for understanding how people feel about Yelp restaurant reviews. I use the super-smart BERT model to quickly figure out if customers are happy or not. Trust me, I've got some serious NLP skills!

The Project for my Big Data Course.

This is the course project for Advanced Databases Course of BDMA - Semester 1 at ULB.

What yelp star rating and review count tell us about restaurants? In this project, we analyzed the relationship between yelp restaurants star rating versus review count, and the relationship of these two variables with a price range, and visualized the top average rated restaurants, and locations.

Proof of concept for a recommender system for Yelp, using bandit algorithms.

An RNN sentiment classifier for Yelp reviews

ElasticSearch dockerized application for Data Mining and Information Retrieval