As part of the initial studying for my final year project (more on that in a future blog post), I had to learn how to build deep models for text classification. As a newbie to deep learning at the time, I decided to start with a small project to familiarize myself with deep learning concepts, TensorFlow and the field of text classification. After some digging, I decided to build classifiers for the movie review sentence polarity dataset (Pang and Lee, 2004) since this was a relatively smaller dataset, dealt with sentences (as opposed to documents) and was a binary classification task. Additionally, there were multiple existing references that I could use as a starting point, which proved to be extremely useful. The complete source code and detailed results for my project can be found on GitHub.