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

Machine Learning Practise

Neural Network for classifying movie reviews as positive/negative using IMDB dataset

IMDB Sentiment Analysis Using Keras. Just for experience.

This is the implementation of IMDB classification with GRU + k-fold CV in PyTorch

Some useful examples of Deep Learning (.ipynb)

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.

Character level recurrent neural networks for Sentiment Analysis

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 using Recurrent Neural Network on 50,000 Movie Reviews Compiled from the IMDB Dataset

An Artificial Intelligence (AI) project for course CS5100 at Northeastern University

Assignment submissions for CSCI 5622 at CU Boulder

Sentiment analysis of the IMDB reviews.