{"id":53309,"date":"2020-06-02T07:00:59","date_gmt":"2020-06-02T14:00:59","guid":{"rendered":"https:\/\/www.eigene-homepage-erstellen.net\/?p=53309"},"modified":"2021-07-26T16:41:34","modified_gmt":"2021-07-26T23:41:34","slug":"natural-language-processing-tools-for-better-seo","status":"publish","type":"post","link":"https:\/\/www.eigene-homepage-erstellen.net\/blog\/seo\/natural-language-processing-tools-for-better-seo.htm","title":{"rendered":"Natural Language Processing Tools for Better SEO"},"content":{"rendered":"\n

Natural language processing (NLP) has come a long way over the years, and has always held a sort of air of mystery and hype around it in SEO. Which is too bad, because even though the math and computer science behind it is becoming unimaginably complicated, the motivation is simple.<\/p>\n

Machines can’t read; they can only do math. To handle the problem of analyzing fuzzy, sloppy, and vague human-generated text, machines have to treat words like numbers so they can perform operations on them. This makes the job of a search engine pretty difficult. They have to match content to user queries without being able to read, and they have to do it at a scale and speed no human can execute.<\/p>\n

Given the nature of the search engine’s problem, I approach using natural language tools for SEO by trying to help search engines do easier math problems. Since search engines mostly rely on the content I supply them when I want to rank, I need to make sure my content is easy for search engines to process<\/em>.<\/p>\n

This article isn’t about finding a magic string of words that will shoot our content to the top of the search engines. No such magic exists. This article is about tools that will help us reduce ambiguity for search engines and users<\/a>, and hopefully uncover blind spots in our content that will guide us in making it better.<\/p>\n

A Brief History of NLP in SEO<\/h2>\n

I want to talk about BERT and what it means for SEO, but I want to give some context around the problem first and dispel some misconceptions that are still with us.
\nEarly approaches to web search were just applications of information retrieval technologies; not much more advanced than library keyword search applied to web documents.<\/p>\n