In this ipython/jupyter tutorial I use Keras/Theano and an LSTM to predict sentiment for the IMDB dataset. This method is than compared empirically to TF-IDF and logistic regression. Finally, I pull the learned embeddings out of the model and analyze their structure with cosine search and T-SNE to demostrate what the LSTM has learned.
-
Notifications
You must be signed in to change notification settings - Fork 13
thenomemac/IMDB-LSTM-Tutorial
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
In this tutorial I use an LSTM and Keras/Theano to predict sentiment on the IMDB dataset.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published