Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

techcrunch.com

Post reply on HN
Print view View original

21–30 of 70 posts

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#21

Post by thedevil »

georgemcbay wrote: post #9
asymmetric wrote: post #6

Congratulations to the team, although it seems the algorithm isn't very accurate, since this article[0] from 1997 was tagged with "Blockchain". [0]: https://www.gnu.org/philosophy/right-to-read.html?source=tec...

Or maybe the algorithm is scary accurate and has correctly deduced that Richard Stallman is, in fact, Satoshi Nakamoto! Somebody contact Newsweek!

As a sincere question, why did people downvote this comment?

I thought he was funny and I think lighthearted humor has value to it. It didn't seem snarky to me, did it to someone else?

Did it seem off-topic? It's a joke rather than useful information, but I'd argue that it is on-topic per the rules: "Anything that good hackers would find interesting."

Am I missing something?

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#22

Post by minimaxir »

thedevil wrote: post #21
georgemcbay wrote: post #9

Earlier quoted context omitted.

Or maybe the algorithm is scary accurate and has correctly deduced that Richard Stallman is, in fact, Satoshi Nakamoto! Somebody contact Newsweek!

As a sincere question, why did people downvote this comment? I thought he was funny and I think lighthearted humor has value to it. It didn't seem snarky to me, did it to someone else? Did it seem off-topic? It's a joke rather than useful information, but I'd argue that it is on-topic per the rules: "Anything that good hackers would find interesting." Am I missing something?

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.

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#24

Post by bcjordan »

minimaxir wrote: post #22
thedevil wrote: post #21

Earlier quoted context omitted.

As a sincere question, why did people downvote this comment? I thought he was funny and I think lighthearted humor has value to it. It didn't seem snarky to me, did it to someone else? Did it seem off-topic? It's a joke rather than useful information, but I'd argue that it is on-topic per the rules: "Anything that good hackers would find interesting." Am I missing something?

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

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#25

Post by robertelder »

I 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 than letting a smaller number of people have a longer period of time to filter a smaller collection of content.

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#26

Post by DanBC »

CaliforniaKarl wrote: post #4
nickpsecurity wrote: post #2

Strength of Hacker News is the network effect of a diverse, intelligent crowd. It would be hard to replace. A supplemental site tagging it and aiding search has value. Biggest problem I have searching HN, though, is Google mixing up stories and comments. The fix might be as simple as two domains that contain stories and comments cloned from HN, one domain for each, followed by Google Searches within those domains. No…

https://hn.algolia.com/ does the job pretty well!

Yes, I used to be critical of the search but it's actually pretty good.

I do wish there was a way I could set the defaults. I almost always want to search comments and sort by date.

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#28

Post by searchhn »

var_explained wrote: post #17
minimaxir wrote: post #11

Direct 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…

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

Re: Tagger News takes a subset of HN articles, analyzes using ML, and applies tags

#29

Post by pera »

Wow 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.
Post reply on HN