One can not be considered a serious SEO specialist without at least some understanding of Natural Language Processing. NLP studies the problems of automated generation and understanding of natural human languages. All search engine spiders and robots use NLP in a certain way for improving text processing and analysis of billions web pages on the Internet. Of course, spiders empowered by artificial intelligence and text analytics capabilities are still in the process of growing up. There are many pros and cons of artificial intelligence that I am not going to discuss in this blog entry. I just want to point out that, eventually, search engine spiders will become more and more sophisticated. And I am talking not about some distant future but of something that may happen within a couple of years.
When a search engine visitor is looking for some words and expressions and clicks on the submit button, search engine starts a certain proximity search by looking for Internet documents where two or more separately matching term occurrences are within a specified distance, where distance is the number of intermediate words or characters. Now what can this knowledge help search engine optimizers?
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