2 ms·

Now that’s a juicy headline if I ever saw one (^_^)

• echelon 5y ago
  It's 100% accurate too. There should be an automated NLP means of determining which stories are "crazy" based on coincidental yet unrelated keywords. That'd be a filter I would subscribe to.
  • milkey_mouse 5y ago
    This would be a pretty interesting exercise. I can imagine using path length/distance across the word2vec space or even just the inverse of an ngram's probability. E.g. "zombie" and "fungus" may be close together, so would "cicadas" and "horror" maybe, but "cicadas" and "sex" probably don't appear together very often.