large scale Sentiment Analysis
- Uses basic preprocessing (which can be pruned via tf-idf or vector-space modeling, feature extraction etc)
- annotates use of embeddings to learn words
- reaches convergence within 5 epochs (for the current dataset)
- scalable with keras / pyTorch implementaion, or with GPU activation