Submetrics – Search for your favorite show

I don't understand;

1) What's the 'top words' which appears when you search for a site? I just get a bunch of profanities (for basically any show, even those which are PG-13). Is this meant to be the top words found in the show's subtitles (it's not) or the most searched for words (in which case why am I'm being shown that). Further searches seem to show some work (e.g. Homeland, or Game of thrones)

2) Expanding the 'top words' gives (apparently) a top 100, except many words appear more than once - in my 'top words' for 'The Simpsons', 'MOM' appears 7 times.

3) What are the 'Top topics'? Again, examining The Simpsons, the top topics are, 'Case/investigation', 'noisey', and 'spooky'.

4) Browser 'back' doesn't work from top topics or top words

Edit: Having read the 'about' I'm feeling far less critical, given this is part of a Big Data course project. Initially, I wondered if the prevalence of profanities in speech (generally) are causing a weird biasing effect (i.e. a single word being said repeatedly) but given there shouldn't be any 'fuck's in The Simpsons/Modern Family/Friends my guess is something may be off on the back-end?

3.) I think the 'Top Topics' are categorizations based upon the words found in the subtitles. Each word in the English language is mapped to a category, and based upon the word content of the show, it is assigned a category. While interesting in theory, it definitely misses the mark on certain shows. I assume The Simpsons is due to their 27 Treehouse of Horror events while the rest of the show does not necessarily have a central focus.

Yeah, its a nice idea but doesn't seem to work at the moment, give it a few months and someone may well implement it properly.

As an aside does anyone recognise what they've used for the data vis on http://www.submetrics.org/#/about ?

Top word for all shows these days seems to be 'fuck' oO

Subtitle analysis is a really cool idea!