Hierarchical Attention Networks for Document Classification in Keras
Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset
Implementation of IMDB sentiment classification by GRU with self-attention in PyTorch
Neural Network for classifying movie reviews as positive/negative using IMDB dataset
Machine Learning Practise
IMDB Sentiment Analysis Using Keras. Just for experience.
This tool can be used to find the most influential words on a document. We define most influential as the words that influence a trained classifier the most to give it a particular classification.
This is the implementation of IMDB classification with GRU + k-fold CV in PyTorch
Character level recurrent neural networks for Sentiment Analysis
Some useful examples of Deep Learning (.ipynb)
Recurrent Capsule Network for Text Classification
Sentiment Analysis of IMDB movie reviews using CLassical Machine Learning Algorithms, Ensemble of CLassical Machine Learning Algorithms and Deep Learning using Tensorflow Keras Framework.
Model interpretability for Explainable Artificial Intelligence
Course project for IIT CS579, Social Network Analysis
2D CNN with various region size for sentiment analysis
Sentiment Analysis on movie reviews
A study of the use of Long Short Term Memory (LSTM) for the sentiment classification of movie reviews on the well-known IMDb website.
Sentiment Analysis using Recurrent Neural Network on 50,000 Movie Reviews Compiled from the IMDB Dataset
Sentiment analysis on the IMDb reviews data using recurrent neural network models.
An Artificial Intelligence (AI) project for course CS5100 at Northeastern University
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