_lpa_

8 ms·

31.
by _lpa_ 11y ago
Well, the nature of NER is that it can extract 'Steve Jobs' as either a PERSON or a BOOK entity (in my case). You can in principal extract whatever kind of entity you want, provided you have appropriate training data. The idea (lo
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by _lpa_ 11y ago
I built a little tool to help with that, but pretty much the first result on amazon was always right - for books with more than one match, at least.
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by _lpa_ 11y ago
I might be a bit embarrassed with the code quality - this was one of my first attempts at front end development. I was planning to expand the features of the site a bit, including genre filters, so perhaps I could clean it up a bit and rele
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by _lpa_ 11y ago
Damn, sorry about that. Do you see a loading spinner on the page at all? I don't have an Android or BlackBerry, so wasn't able to test with either.
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by _lpa_ 11y ago
That's not really much to do with me - the credit there lies with fastly! This was the first time I've used a CDN, and I had a great experience using them. Highly recommended.
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by _lpa_ 11y ago
Yeah this is my mistake - sorry :(. I'll fix it as soon as I have time.
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by _lpa_ 11y ago
I actually wrote it myself, based on conditional random fields! I would not recommend doing this - it was mostly an exercise to learn how they work. I should probably have mentioned that I manually cleaned up the results a bit. I understand
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by _lpa_ 11y ago
I did something pretty similar over christmas, though I used named entity recognition to extract book titles rather than looking for amazon links, and (so far) also limited it to specific "Ask HN" threads about books. You can find
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by _lpa_ 11y ago
Thanks for the suggestions. I was thinking that sorting, as well as limiting the date range, would be useful. I'll also sort out the new tab opening :). If you had any other suggestions, feel free to let me know!
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by _lpa_ 11y ago
Thanks!
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by _lpa_ 11y ago
I used the haxor python wrapper for the API https://github.com/avinassh/haxor . It was nice and easy to use :).
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Show HN: HN Reads – the books of hacker news(hnreads.com)
33 points by _lpa_ 11y ago|6 comments