Python Natural Language Processing

Recipe summarizer and title generation

Before jumping into the code, I want to give you some brief background about summarization. Architecture and other technical parts will be understood as we code.

Semantics is a really big deal in NLP. As data increases in the density of the text, information also increases. Nowadays, people around you really expect that you say the most important thing effectively in a short amount of time.

Text summarization started in the 90s. The Canadian government built a system named forecast generator (FoG) that uses weather forecast data and generates a summary. That was the template-based approach where the machine just needed to fill in certain values. Let me give you an example, Saturday will be sunny with ...