Hacker Cinema
Chicago
2002 · Film · 113 min
Directed by Rob Marshall
Murderesses Velma Kelly and Roxie Hart find themselves on death row together and fight for the fame that will keep them from the gallows in 1920s Chicago.
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6 comments on Hacker News
Last time that I had to use flopping disc was when the Chicago movie came out that was 2002. 24 years ago. And even that was for one off project after several years of not using it
It's hilariously bad. For one thing, it seems to try to find an 'explanation' for anything you type in, no matter how ridiculous that might be or if there's even any info on it online at all. It's become a common meme online to just come up with random fake idioms, throw them into Google and see the nonsense it comes up with in its desperate attempt to make sense of the non phrase.
And even if you do ask a legitimate question, you have to then hope the system knows what you actually mean rather than taking every word in your question literally and returning a complete non answer. So you might ask "was [actor name] in Chicago (the movie)?", only for Google to say "no, [actor name] doesn't live in Chicago".
Add the dangerous misinformation, the extremist answers sometimes generated and its attempts to make up sources if I can't find any, and well, it's basically useless for just about everything.
I just came across American Experience for the first time over the last week. What I've seen so far is incredible.
This is their YouTube profile: https://www.youtube.com/@AmericanExperiencePBS/featured
Unfortunately, the doc you mention isn't on there. They do have the transcript on their site tho: https://www.pbs.org/wgbh/americanexperience/films/chicago/
This is also a plot point in the Broadway musical (and its movie adaptation) “Chicago”. It even gets a great song, full of double entendres, “My Baby and Me”.
Wow. That's like saying a person's name isn't important. That's like saying Latin words aren't relevant or Spanish words aren't relevant for processing English. To explain why this is bad since if the author is confused(see edit), others may be as well: Twitter mentions are contextual data. They're either addressing someone by name or they're being used in a cheeky way to replace another word.
I could quite easily say "I'm going to @chicago this weekend to see @taylor_swift". Now see if this sentence makes any sense: "I'm going to this weekend to see". Nope. What you need to do is translate them, like any other word. Sure it's not an English word, but you wouldn't ignore the word "hola" just because it's not an English word. Now, if your NLP application doesn't rely on this data, sure, throw it away. But if you're looking at Twitter and throwing away any mentions, you're not really processing natural language, are you?
Sure, it's really hard to translate. Am I talking about Chicago the city or Chicago the band? Maybe Chicago the movie?
Well that's why NLP is one of the most challenging areas of research, and nothing in this article will help solve even 0.009% of those challenges.
(edit) Maybe confused isn't the right word... they may just have other priorities for their use case. However, that doesn't excuse the title.
I like the interface. HOwever I think the filters need a little work. For example I clicked on Action and I got these results: http://movieo.me/?grid=list_movie&file=movies%2F_movies&rate_by=tomato_top&page=1&genres%5B%5D=10402&genres%5B%5D=28
They contain Chicago, Diva, King Creole, etc.. not exactly what I would call action movies. All in all looks pretty cool !