amend

Yes, I agree. I posted the question here too because the last time I asked a question, the responses provided excellent answers and related conversations. Should I remove it from HN?

I updated my question so it’s more clear. The update is relavent to your first point.

By local storage do you mean storage on the client or server? I thought a benefit of jwt is not having to store anything on the server, is this correct?

I just updated my question, as it was vague. I’d appreciate your input!

I just updated my question, as it was vague. I’d appreciate your input!

I just updated my question, as it was vague. I’d appreciate your input!

I just updated my question, as it was vague. I’d appreciate your input!

Also, the amount of tweets is show if you hover over the charts and on the side bar next to the charts like most graphs.

37900 collected in nine days.

In NLP, words like "the" and "a" are "stop words" that are excluded from word counts.

These are four charts containing statistics about tweets from the Austin area.

The charts discuss a sentiment analysis of the tweets and when the tweets were sent. Red means the tweet was catagorized as positive (for example: What a great day), blue as negative, and green as neutral. The last chart contains the 50 most common words used in the tweets.

I think the results are pretty interesting to see, but if you're interested in a TLDR: People tweet sad things on weekdays and happy things on weekends, and tweet sad things late at night and happy things in the afternoon and evening.

https://github.com/amend/austins-sweet-and-sour

Yeah, that makes sense since smiley faces are yellow and red is traditionally an angrey color. Maybe I should have done that.

It was a while ago so I don't remember. But if I had to guess, probably bc hearts are red and they're associated with liking things online

Here's another side project from a couple years ago. It's called Austin's Sweet and Sour. Tweets from the Austin area are overlaid on a map of Austin with the their sentiment classified. Happy tweets show up as red, sad as blue, and neutral as green. Hover over the markers to see the tweet.

The API I used to classify the tweets isn't totally accurate (50% of the time it works every time), but it's still pretty fun seeing the tweets on a map with a rough sentiment. The link directly below is Austin's Sweet and Sour.

http://52.36.131.248:3000/

https://github.com/amend/austins-sweet-and-sour

View the top 25 intersections for panhandling in Austin, Texas. Data collected from city of Austin site:

https://data.austintexas.gov/Government/Traffic-Count-Study-...

It's supposed to be half parody half useful.

https://github.com/amend/panhandlr