Very cool. Here's an accurate 5 sentence summary of my recent blog post:
This could be a useful Chrome extension built on Twitter. Instead of clicking through to read articles, simply hover over a shared article in your timeline to get the summary. #savedyouaclick 😊
@rrhoover this is an interesting idea. So the next thing that I'm currently building on top of this is a Facebook bot. You can send it links and it'll parse and send you the summary. Chrome extension would probably be easier to build though
@jjangsangy@rrhoover this would be cool, the latency of the heroku free plan may make it a bit slow, though.
@jjangsangy Btw, I can build that, if you want. Any chance to allow cors requests and return response as json or something?
@oelmekki thanks for your enthusiasm. TextRank is actually a much simpler than neural networks. It creates a simple language graph of documents and calculates the centroid. Each word in a way is recommends other words in a similar way to PageRank recommending web pages. Here is the original paper written about TextRank, it's very readable. http://web.eecs.umich.edu/%7Emih...
@jjangsangy Thanks :) Skimming through it, I see it uses quite similar method than 5-gram neural networks are using to generate word embeddings. The reconstruction/extraction process looks super cool, though. Will have a deeper look, thanks!
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