Interesting chart. i'd suggest using the same colour for each bar as people will try to read something into the colours if you vary them.<p>Also, "interest" would be more accurate than "sentiment" in its current form.
There is also "Swaggy Stocks" which tracks this, as well as a bunch of othere WSB related stuff! <a href="https://swaggystocks.com/dashboard/wallstreetbets/ticker-sentiment" rel="nofollow">https://swaggystocks.com/dashboard/wallstreetbets/ticker-sen...</a>
Formatting is a bit off on mobile, but I'm sure you're aware and working on it.<p>If you haven't thought of it already, you could turn this into a somewhat modular tool. Someone can go to a page, enter the subreddit of their choice, the keywords they want (or just let your software parse the most popular words that aren't common language), and have a nice chart like this quickly.
Would love to hear more on the methodology that drives the chart. Is it raw number of mentions of a stock, or does it use sentiment analysis for positive/negative mentions of a stock?
Didn't a lot of sentiment analysis/NLP companies already tried to make Wallstreetbets sentiments since forever, and couldn't actually make useful data because of the noise (intentional). The only way today is different is that because these days they are united under singular stock, so its pretty easy. But regular wallstreetbets activity, no chance.
This is neat! I was wondering if someone would make something cool like this.<p>As someone who knows nothing about sentiment analysis / NLP, what do the units on the x-axis mean? Number of positive mentions?
Nice chart, can you share some insight, how are building this, I believe you use reddit api and store the comments and run NLP on that? cleaning data is a headache.
made my own version
<a href="https://insightrend.com/?term=gme&term=amc&term=nok" rel="nofollow">https://insightrend.com/?term=gme&term=amc&term=nok</a><p>started few months ago, didnt predict wsb (wish i would lol)