State Of The Art Text Summarisation Techniques
Developing a Sequence-to-Sequence model to generate news headlines – trained on real-world articles from US news publications – and building a text classifier utilising these headlines.
Crime and Neural Nets
Introducing Recurrent Neural Networks with Long-Short-Term Memory and Gated Recurrent Unit to predict reported Crime Incident