A common dataset for natural language processing (NLP) experiments is the IMDB movie review data. The goal of an IMDB dataset problem is to predict if a movie review has positive sentiment ("It was a ...

This demo from Dr. James McCaffrey of Microsoft Research of creating a prediction system for IMDB data using an LSTM network can be a guide to create a classification system for most types of text ...

The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") and output class 0 (negative review) or class 1 (positive review). This ...

Dr. James McCaffrey of Microsoft Research shows how to get the raw source IMDB data, read the movie reviews into memory, parse and tokenize the reviews, create a vocabulary dictionary and convert the ...

The goal of the IMDB dataset problem is to predict if a movie review has positive sentiment ("I liked this movie") or negative sentiment ("The film was a disappointment"). This article explains how to ...