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CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging
Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"
Project - Data Processing and Analysis in Python Course
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 their impact on overall ratings. This project was done in collaboration with my peers at Carlson School Of Management as part of Big Data Analytics Project.
Analyzing yelp reviews using topic modelling and aspect mining
Multi-class classification on Yelp Data - part of Yelp Dataset Challenge 2017
Analyzing yelp dataset ==> https://www.yelp.com/dataset_challenge
Yelp Restaurant data scraping using python, scrapy spider
Yelp Restaurant Photo Classification (Kaggle Competition)
K mean and K NN (Nearest Neighbours) competition analysis for Yelp restaurants in London
Yelp-Restaurants-Data
Food Blog Search App using React and Integrated Yelp API