Show HN: Exploring HN by mapping and analyzing 40M posts and comments for fun
81–90 of 171 posts
Re: Show HN: Exploring HN by mapping and analyzing 40M posts and comments for fun
#82It was not obvious at first glance to me, but the actual app is here: https://hn.wilsonl.in/
Re: Show HN: Exploring HN by mapping and analyzing 40M posts and comments for fun
#83Earlier quoted context omitted.
Lol what a typical comment for today's HN. Condescending ("just plain wrong") with a jab ("this isn't a hugbox") placed in just to remind you that not only are you perceived to be wrong but you've provoked anger. No proof to provoke the jab, no feedback to help fix what you perceive as wrong sentiment analysis. Just thoughtless condescension and anger. Why is the sentiment wrong? Is this a data analysis trap the OP f…
Cynicism is perceived as more intelligent [0]. I personally find the HN brand of discussion to be difficult to bs my way into. But no matter your level of competency you can always find something to criticize and feel you've contributed. I wonder if academia or even "more intelligent" discussion in general would be counted as more negative. https://journals.sagepub.com/doi/pdf/10.1177/014616721878319...
Re: Show HN: Exploring HN by mapping and analyzing 40M posts and comments for fun
#84Typically the vectors are normalized, instead of what's shown in this demonstration.
When using normalized vectors, the euclidean distance measures the distance between the two end points of the respective vectors. While the cosine distance measures the length of one vector projected onto the other.
Re: Show HN: Exploring HN by mapping and analyzing 40M posts and comments for fun
#85This is impressive work, especially for a one man show! One thing that stood out to me was the graph of the sentiment analysis over time, I hadn't seen something like that before and it was interesting to see it for Rust. What were the most positive topics over time? And were there topics that saw very sudden drops? I also found this sentence interesting, as it rings true to me about social media "there seems to be a…
Thanks! Yeah I'd like to dive deeper into the sentiment aspect. As you say it'd be interesting to see some overview, instead of specific queries. The negative sentiment stood out to me mostly because I was expecting a more "clear-cut" sentiment graph: largely neutral-positive, with spikes in the positive direction around positive posts and negative around negative posts. However, for almost all my queries, the sentim…
On HN, my theory is that positivity is the upvotes, and negativity/criticality is the discussion.
Personally, my contribution to your effort is that I would love to see a tool that could do this analysis for me over a dataset/corpus of my choosing. The code is nice, but it is a bit beyond me to follow in your footsteps.
Re: Show HN: Exploring HN by mapping and analyzing 40M posts and comments for fun
#86Earlier quoted context omitted.
(Without wanting to sound negative or cynical) I don’t think it is, but maybe I haven’t been here long enough to notice. It skews towards technical and science and technology-minded people, which makes it automatically a bit ‘cynical’, but I feel like 95% of commenters are doing so at least in good faith. The same cannot be said of many comparable discussion forums or social media websites. Jokes are also not banned;…
I've been here a hot minute and I agree with you. Lots of good faith. Lots of personal anecdotes presumably anchored in experience. Some jokes are really funny, just not reddit-style. Similarly, no slashdot quips generally, such as "first post" or "i, for one, welcome our new HN sentiment mapping robot overlords." Sometimes things get downvoted that shouldn't, but most of the flags I see are well deserved, and I vouc…
As a parent comment mentions big threads can be a bit of a mess but usually only for the first couple of hours. Comments made in the spirit of HN tend to bubble up and off-topic, rude comments and bad jokes tend to percolate down over the course of hours. Also a number of threads that tend to spiral get manually detached which takes time to go clean up.
Someone who isn't somewhat familiar with how HN works that is consistently early to stories that attract a lot of comments is reading an almost entirely different site than someone who just catches up at the end of the day.
Re: Show HN: Exploring HN by mapping and analyzing 40M posts and comments for fun
#87Earlier quoted context omitted.
[flagged]
Lol what a typical comment for today's HN. Condescending ("just plain wrong") with a jab ("this isn't a hugbox") placed in just to remind you that not only are you perceived to be wrong but you've provoked anger. No proof to provoke the jab, no feedback to help fix what you perceive as wrong sentiment analysis. Just thoughtless condescension and anger. Why is the sentiment wrong? Is this a data analysis trap the OP f…
Sure, there's the 20% of comments that are outright rude, or tie everything back to their pet grievance (job satisfaction, government surveillance, the existence of JS).
But beyond that, the technical conversation has a negative, critical edge. A lot of comments come from the angle "You did something wrong by...", or only reply to correct.
There are still golden comments, and most personal anecdotes are treated respectfully, but it makes for an intimidating environment.
Re: Show HN: Exploring HN by mapping and analyzing 40M posts and comments for fun
#88Earlier quoted context omitted.
[flagged]
Lol what a typical comment for today's HN. Condescending ("just plain wrong") with a jab ("this isn't a hugbox") placed in just to remind you that not only are you perceived to be wrong but you've provoked anger. No proof to provoke the jab, no feedback to help fix what you perceive as wrong sentiment analysis. Just thoughtless condescension and anger. Why is the sentiment wrong? Is this a data analysis trap the OP f…
Good job doing a whole psychoanalysis based on what's basically a joke, though.
Re: Show HN: Exploring HN by mapping and analyzing 40M posts and comments for fun
#89This is impressive work, especially for a one man show! One thing that stood out to me was the graph of the sentiment analysis over time, I hadn't seen something like that before and it was interesting to see it for Rust. What were the most positive topics over time? And were there topics that saw very sudden drops? I also found this sentence interesting, as it rings true to me about social media "there seems to be a…