This is a visualization of various company and topic sentiments as they are discussed on Hacker News.
Visualizing Hacker News
hnmood.com
Visualizing Hacker News
1–10 of 29 posts
Re: Visualizing Hacker News
#2interesting idea. Doc here. I would organize them as
1. Depresssion 2. Anxiety 3. Hostility 4. Happiness 5. Confidence 6. Compassion
Anxiety and Depression definitely go together, in the same way that hostility and happiness are actually similar in terms type of emotion, in terms of level of intellect, and confidence and compassion would be at the highest end of that spectrum.
I would also change the colors to group them: anxiety and depression as blues, hostile and happy as reds, and confidence and compassion as greens. Or something like that.
Re: Visualizing Hacker News
#3It'd be nice to also see typical comments both with high and low scores in each category.
Re: Visualizing Hacker News
#4It'd be nice to also see typical comments both with high and low scores in each category.
Re: Visualizing Hacker News
#5So cool! This is what I had started working on for the HNSearch API Contest, but I hadn't gotten far. I'm SO glad someone did this. I feel as though this could be made into a useful and viable product, if marketed correctly and accurate enough.
Re: Visualizing Hacker News
#6Too bad the EffectCheck API is not open for all. Looks like a well-parameterized sentiment analysis tool.
What does this page tell us: http://effectcheck.com/pricing
It can be used for a stock analysis and dampening or amplification caused from other firehose like sources like Twitter.
Re: Visualizing Hacker News
#7It'd be nice to also see typical comments both with high and low scores in each category.
Contact the dev on Twitter here: https://twitter.com/scottwisme
Re: Visualizing Hacker News
#8Do you expose the underlying data? For example, what are the most hostile articles about Microsoft?
Re: Visualizing Hacker News
#9Can it work farther back in time? interesting if there are longer term trends. Happiness particularly can be indicative about the overall satisfaction from HN.
Re: Visualizing Hacker News
#10Wow, how did this get discovered?
I'm a co-founder at EffectCheck and I was working closely with Scott this weekend as he was building this. It wasn't really ready for viewing yet, but okay... :)
Please note that the top graph is currently a mixture of two sets of data. The older points were using a less sensitive and improperly calibrated HN comment model, hence why everything is drifting around near "Typical." The points from 14:47 onward are using the correct model.
For those wondering why HN was so negative from 14:47-20:47, I believe the main topics of conversation were the Bitcoin and Sega debacles. Makes sense that people were really anxious given all that news.