This tutorial walks users through an entire deep learning based NLP pipeline. The notebook demos a sentiment model for IMDB movie reviews using an LSTM and benchmarks the model against a linear model with tokenized TFIDF features.
The LSTM model is then introspected by looking at works most likely to flip a review from positive to negative and vice-versa. Then TSNE is used to visualize the the distribution of the most impactful words in movie reviews.
