Got that this is using nltk. Can you comment on which summarization algorithm you are using (TextRank, SumBasic and etc.) What's the motivation towards choosing one algorithm over another and how's its performance on average HN articles?
The summary seems to pick the most unique sentences, so maybe LexRank? Amazing though, I've been really wanting a way to skim HN articles quicker, since there is so much volume and you don't want to miss anything
Great work!
This.
It would be great if we can have the source code alongside with OP's comment on his/her summarization
Agree. It would be great to see your source code if at all possible, would be greatly appreciated.