Why SEOs should

[kexej28769@nongnue]

First, it tells you how often a word appears in the document — this is the “term frequency” part of TF-IDF. Then, it tells you how important that term is, and it does this with “inverse term frequency,” which devalues words that appear frequently (like “the” or “a”) and boosts more unique words. This adjusts for the fact that some words appear more frequently than others and have little relevance.

This weight score tells us how relevant our keywords are, which is great in itself, but especially useful when you apply it to SEO.

Google is smart. It knows when you can't get out of chile number data head when you're trying to find the name of a song and also when the content isn't valuable or is teetering on the edge of spammy. It does the latter through all of its powerful algorithms, which actually include analysis like TF-IDF to ensure that the content is relevant to the topic being searched.

This is key for SEOs, because while Google has gotten pretty good at thinking like a human, it's still just an algorithm that's constantly refining its metrics. And while we know some of these metrics, some of the metrics Google uses we may not know , and they could be things like whether the right words are being used in an article.