Working with the Yelp Dataset in Azure SQL and SQL Server

Analyzing yelp reviews using topic modelling and aspect mining

Contains Python scripts to import and model the Yelp challenge dataset into Neo4j respectively.

A Python 3 script to normalize the Yelp challenge dataset to its core attributes, perform feature selection, generate a subset of the dataset, and output to CSV.

Contains the GSQL scripts and TigerGraph solution to import and model the Yelp challenge dataset into TigerGraph respectively.

Analyzing yelp dataset ==> https://www.yelp.com/dataset_challenge

yelp dataset challenge round 12 (NLP)

Yelp Data Challenge 10

Final project for a big data course ( CS 4301 ). This was done with another team member - @AkshayRameshAppDEV

Analysing Yelp reviews and classifying them as Food Relevant/Irrelevant

Analysis of Yelp Json dataset and drawing useful information using MongoDB

This is an attempt to predict rush hours and help the businesses to maximize their profits.

This repo contains the Yelp dataset challenge implementation for predicting the business category and recommending food items based on the 1.6M reviews.

Text Mining on Yelp Challenge Dataset

Analysis of Yelp Json dataset and drawing useful information using MySQL