REVEALED: THE 22-YEAR-OLD EXPERT SAVED THE WORLD FROM RANSOMWARE VIRUS
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Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
31–40 of 70 posts
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#32Direct URL to project details: https://devpost.com/software/tagger-news A few comments: 1. To other commenters, as with the HN Vue demo a week ago ( https://news.ycombinator.com/item?id=14284877 ), the project is a technical proof-of-concept; the aesthetics aren't the primary focus. 2. The Algolia API is better for scraping because it allows for bulk requests, unlike the official API (my old 2014 script still works I…
REVEALED: THE 22-YEAR-OLD EXPERT SAVED THE WORLD FROM RANSOMWARE VIRUS http://hackernucleus.com/revealed-the-22-year-old-expert-sav...
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#33I think the biggest value proposition of this is the ability to do sub-reddit like filtering on specific tags. As Hacker News grows I think dealing with the number of new submissions would become a bottleneck. During high-traffic times, new submissions sometimes drop of the first 'new' page in around 10 minutes. Of course there is more traffic during these times to upvote good content, but I'm not sure that is better…
Not too mention a lot of the content has strayed away from technology and has gone towards mental health, personal growth, news, politics, etc.
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#34Wow I was thinking to make something similar: an experimental HN fork where submissions are tagged (collaboratively) but without titles, as these are rarely useful to predict the content of an article. And of course there is also the convenience of categorization.
You are describing lobste.rs
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#35Link to try it out http://www.taggernews.com/
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#36Earlier quoted context omitted.
One of the devs here. 1. That's the way we were thinking about it :) 2. Oh, excellent! We hadn't found that or we'd have used it, and we'll start working with it. 3. Tomorrow I'm going to blog about how we approached the machine learning. Short version; we manually came up with regular expressions to classify a training set based on titles . The idea is that when we experimented with manual annotations on titles, the…
This is awesome ! Congrats.. https://github.com/HackerNews/API The firebase API is excellent. I have been using that to keep http://searchhn.com up to date in real time. Also big query is updated every day with all comments and posts. https://bigquery.cloud.google.com/dataset/bigquery-public-da... This is what I started with to update the Searchera ( https://searchera.io ) index which powers Searchhn
Oh, that was silly of us not to use BigQuery! I was just able to use that download a full million stories (though we still would have had the rate-limiting step of downloading the articles).
During a hackathon it can be hard to tell when to keep searching for an easy solution like that, as opposed to going with something slow you know will work- sometimes it turns out to be a dead end.
Thanks for the recommendations!
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#37I think the biggest value proposition of this is the ability to do sub-reddit like filtering on specific tags. As Hacker News grows I think dealing with the number of new submissions would become a bottleneck. During high-traffic times, new submissions sometimes drop of the first 'new' page in around 10 minutes. Of course there is more traffic during these times to upvote good content, but I'm not sure that is better…
subreddit force are their communities
Also in 10 minutes there is no time to read every articles (or any good long for that matter) so not sure what that leave on the front page
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#38I did similar thing + summarization a while ago with open sourcing the project http://hntop.org https://github.com/bexp/textai
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#39Earlier quoted context omitted.
It's a Reddit-esque comment that adds no value. (and at best, it's off topic where the topic is about an improved Hacker News) There are instances where humorous comments can add value (e.g. irony/satire), but it's not common and hard to do properly.
Maybe we need a machine learning comment value predictor
Then nobody would need to visit the site at all, it'd be completely self-ranking and automated - imagine the productivity improvements in the valley? (Disrupting the web forum industry!)
Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags
#40Earlier quoted context omitted.
https://hn.algolia.com/ does the job pretty well!
Also, you can easily search HN in Chrome: start typing news.ycombinator.com, it will be ready for autocomplete, and it will say in grey text "Press [tab] to search HN". The results show up from algolia. If only there were a way to make the default search order recency instead of popularity — most of my searching is before posting something, to make sure it hasn't already been posted.
The search bar at the bottom of news.ycombinator.com also takes you to that site.