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[01.09] 2002-02-11
Elimination of unwanted arbitrary associations/keyword (or “theme”) densities will be just as important as selecting “linguistic relevancy fields/lists”.
What this boils down to is the generation of fairly comprehensive contextual databases to be combined with applicable punctuation and spelling algorithms. You would want to generate SE-optimized text which should look as much as the real thing as you conceivable can. Not only would semantic distribution (keyword density and relevance) be critical, you would also want to see to it that capitalization (e.g. at the beginning of a sentence, but not restricted to this single rule) confirms to what may plausibly be deemed an "industry average distribution" within the topical field targeted.
While it would yet be premature to expect Artificial Intelligence (AI), Machine Aided Translation (MAT) and neuronal networks technology to play a dominant role in the development of search engines' ranking algos, it can reasonably be stated that search engine optimization professionals will be well advised to get at least a smattering of what's currently going on in these fields and to exploit established research resources to develop the technology required.
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