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.

Uses NLP to analyze nearly 3 million restaurant reviews from the Yelp dataset

predicting yelp review rating using recurrent neural networks

Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017

Play around with Yelp dataset in Python (in progress and very messy repo)

Parse nested JSON file and convert to CSV; Convert YELP dataset to CSV

Place2Vec ground truth dataset

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.

🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.

Working with the Yelp Dataset in Azure SQL and SQL Server

Analyzing yelp reviews using topic modelling and aspect mining

Project - Data Processing and Analysis in Python Course

Python recommendation Engine. Django

Restaurant recommendations and review text-based quality predictions

A RNN based Sequence to Sequence autoenconder for yelp reviews (sentences).

Classification of User Star Ratings using Review Text from the Yelp Dataset Challenge

Sample analysis for the latest yelp dataset using spark

Deep Structure Learning for Fraud Detection (ICDM 2018)

Cornell Data Science: Machine learning research project

Multi-class classification on Yelp Data - part of Yelp Dataset Challenge 2017

A yelp recommendation system based on user classification and review emotional analysis

Munging the data from the Yelp Academic Dataset 2017.

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

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.

classifying the sentiment of reviews using AWD-LSTM

Academic project for Advance Database Management Systems (Big-Data) course

Recurrent Capsule Network for Text Classification

This system is developed as a part of capstone project for Statistical Machine Learning course. The system recommends restaurants to Yelp users based on their reviews history in the Yelp database.

Business and Topic Recommendation a new Business Owner can provide in their new Restaurant or for an existing restaurant.