Text Summarization
Automatic Text Summarization is the process of shortening a text document using the deep learning methods. More specifically we will use a seq2seq model for this purpose. This model is widely used in industry today. Search engines are an example. Others include summarization of documents, image collections and videos.
In this Jupyter Notebook, we will go through the following chapters:
- Chapter 1: Data Prepration
- Chapter 2: Data Preprocessing & Embedding
- Chapter 3: Training the Seq2Seq Model
- Chapter 4: Inference