Nice landing page. If you Google "summarizer", you will find dozens of similar services for free. The mechanism behind it is very simple. A couple a years ago I built one from scratch in about 2 hours, then I accidentally deleted it and rewrote it in 15 minutes. Here's how most of them work: 1. Split the text into words 2. Rank each word based on how many times it appears in the text. For example, a word that appears…
Text summarization works as a good toy problem, because it leads to two harder problems: 1. text extraction (how to distinguish content from non-content like ads) 2. q&a (given text and a question about the text, how can you produce an answer).