Building a Classifier Fetching stories from Hacker News Extracting key information from articles Using AI to determine article topics Code - {% gist 5181b0e3c9957617598d4b446609ba01 hn_scraper_llm_topics.py %} {% gist d6a97bbd3534c532d148ea8a1efc851b strings.py %} {% gist d2fc27b41a17497466621b7e25c924fa data_models.py %} {% gist 3bb526888e592de66c82eba391dd08ea keys.py %}
I have watched and re-watched Seinfeld over and over for the last 6–7 years now and it remains, till date, one of my most favorite shows. For a show that claims to be about nothing, it has certainly managed to fill up nine seasons worth of content, all with seemingly no plot. The show, if you’re unfamiliar with it, traces the day-to-day lives of (mainly) 4 quite unremarkable people — Jerry Seinfeld, George Costanza, Cosmo Kramer and Elaine Benes. These 4, along with plenty of other side characters and guest stars engage in what seems to be a series of meaningless conversations and activities, which somehow all come together towards the end of the duration of each episode. ...
Alright. Round 2 . FIGHT! So, the last time, I figured out, unintentionally, at what times of the day most of my posts happened. This time, I again unintentionally got results different from what I set out to do — I’ll get to this eventually I guess, but for now, the objective is obtaining a measure of the number of posts I make per day and thereby see if I can figure out which days of the week have been the most (least?) productive. Of course, this is still a step away from my eventual goal (hopefully Experiment 3 should sort it out). Let’s get to the methodology — ...