October 30, 2020
This video discusses different methods for text summarization. It shows different approaches to text summarization using machine learning (ML) technologies. Specifically, TensorFlow base and PyTorch are used for comparison. (1) An LSTM sequence-to-sequence, TensorFlow based text summarization is shown, then (2) BERT - a bidirectional, sequence-to-sequence, PyTorch ML tool is shown. The PROs and CONs of each method are also discussed.