OpenTable Reviews Classification with BERT and Transfer Learning
A neural network model for sentiment analysis of movie reviews using IMDb dataset. The model is built using PyTorch and BERT as the feature extractor.
In this NLP project, we will classify Yelp reviews into 1-star or 5-star categories using simplified methods, utilizing the Yelp Review Data Set from Kaggle, which includes a "stars" column for ratings and user votes on "cool," "useful," and "funny" reviews.
A full-stack sentiment analysis system that classifies customer product reviews into positive, negative, or neutral sentiments using NLP and machine learning.
NLP tutorial on fine-tuning the BERT model to classify IMDb reviews: mixed, positive, negative.
Fitting Multinomial Naive Bayes Classifier on Amazon reviews
This project solves the IMDB review classification problem, which is a case study of Deep Learning with Python (See section 6.1.3). The book has an implementaion in Keras. I re-implement it using PyTorch.
Implementation of Distributional Semantics & Neural Text Classification as part of COMP34711: NLP
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