CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging
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Updated
Jul 12, 2019 - Python
CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging
Analyzing yelp dataset ==> https://www.yelp.com/dataset_challenge
A minimal Flask API to generate random lunch reviews
Sentiment classification using Yelp reviews
This is my data mining project for CS573 (dataset is from Kaggle: https://www.kaggle.com/yelp-dataset/yelp-dataset)
Implementation of LSTM for sentimental analysis on Yelp reviews.
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
Where to eat in Las Vegas: Topic Models, Networks, & Yelp Reviews
will be attempting to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews using Natural language processing
Enrolled in a Thinkful course on Data Science
Application of NLP methods to predict ratings in Yelp reviews
Yelp Me! - The Cuisine Recommender
Term Project for CSC 869 Data Mining class (San Francisco State University)
Sentiment Categorization of business reviews on Yelp using non-neural Machine Learning algorithms | COL772 (NLP) @ IIT Delhi
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