This project analyzes Yelp restaurant data using SQLite, Python, and Tableau to explore user engagement, reviews, and ratings. It provides insights into restaurant success across cities, regions, and user behavior.

Yelp Restaurant data scraping using python, scrapy spider

Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"

Food Blog Search App using React and Integrated Yelp API

CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging

Java Client for using Yelp Fusion API

Yelp Restaurant Photo Classification (Kaggle Competition)

Project - Data Processing and Analysis in Python Course

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

Performed Aspect Based Sentiment Analysis using Topic Modeling(LDA) and sentiment analysis and Regression analysis using Python and Spark on Yelp Restaurant Reviews. The objective of the project was to understand how to extract quantifiable information from reviews to understand the impact of the important aspects for different cuisines and thei…

Analyzing yelp reviews using topic modelling and aspect mining

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

K mean and K NN (Nearest Neighbours) competition analysis for Yelp restaurants in London