Machine Learning Practise

Model interpretability for Explainable Artificial Intelligence

Sentiment Analysis of IMDB movie reviews using CLassical Machine Learning Algorithms, Ensemble of CLassical Machine Learning Algorithms and Deep Learning using Tensorflow Keras Framework.

A study of the use of Long Short Term Memory (LSTM) for the sentiment classification of movie reviews on the well-known IMDb website.

IMDB Movie Reviews Sentiment Classifier using Pre-trained word embedding model.

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

Sentiment analysis of IMDb reviews using CNN.

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

Sentiment analysis of the IMDB reviews.

Sentiment analysis using IMDb movie reviews dataset

I have started getting quite interesting in the concept of Natural Language Processing and tried to implement and understand this concept from a blog i read from towardsdatascience.com

Deep Learning

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

imdb-sentimental-analysis-pytorch

Sentiment Analysis of IMDB Movie Reviews

Recurrent Capsule Network for Text Classification

Implementation of IMDB sentiment classification by GRU with self-attention in PyTorch

Some useful examples of Deep Learning (.ipynb)