There are 7 repositories under yelp-dataset topic.
A Deep Graph-based Toolbox for Fraud Detection
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.
Project - Data Processing and Analysis in Python Course
Uses NLP to analyze nearly 3 million restaurant reviews from the Yelp dataset
Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017
🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.
Building a Recommendation System for customer using Yelp dataset of restaurants.
Restaurant recommendations and review text-based quality predictions
Play around with Yelp dataset in Python (in progress and very messy repo)
Working with the Yelp Dataset in Azure SQL and SQL Server
Generate fake restaurant reviews with GPT-2 using Yelp Dataset
Parse nested JSON file and convert to CSV; Convert YELP dataset to CSV
A PyTorch implementation of the DRR framework (deep reinforcement learning, DDPG, PER, PMF) as it applies to restaurant recommendation.
Analyzing yelp reviews using topic modelling and aspect mining
Application that predicts the number of stars that of a Yelp Review in realtime as a reviewer types it. Runs as a microservice-based application using Node.js, Python, and Docker. Displays results from Google Natural Language API and a custom trained classification models.
Python recommendation Engine. Django
Deep Structure Learning for Fraud Detection (ICDM 2018)
Multi-class classification on Yelp Data - part of Yelp Dataset Challenge 2017
Classification of User Star Ratings using Review Text from the Yelp Dataset Challenge
This repository contains the Business Intelligence insights generated as part of the final project challenge for the DTU Data Science course 42578: Advanced Business Analytics
Academic project for Advance Database Management Systems (Big-Data) course
Sample analysis for the latest yelp dataset using spark
Contains Python scripts to import and model the Yelp challenge dataset into Neo4j respectively.
Hotel Recommendation system based on Content, Collaborative, Social Network Based Systems
A RNN based Sequence to Sequence autoenconder for yelp reviews (sentences).
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.
classifying the sentiment of reviews using AWD-LSTM
The goal of this project was to predict reviews' star ratings on Yelp using the review text. We built the following models that perform text analysis on review data to predict the rating stars.
A complete data product project used to study concepts related to data enginerring such as modeling, collection, operations and so on.
This Repo contains - Starter files, Coursework, Programming Assignments for the course --> SQL for Data Science from University of California, Davis [COURSERA]