With each algorithm update Google has taken important steps toward understanding the many multidimensional aspects of language. Primarily through linguistic features that help convey the context and intent behind what we say. There's a lot going on under the surface of search and online content beyond the keywords themselves and Google's ultimate goal is to fix that. Linguistic Aspects of Language Before delving into linguistic methods it is useful to first consider the different aspects of language used when searching online.
Intuitively we use words to search and these words in turn form sentences with some meaning. Yet language is not just made up of words. So how does Google decipher meaning from strings of simple UK WhatsApp Number List words Using other linguistic information around keywords it looks at the meaning of semantic words and sentences. Pragmatics can affect contextual features of meaning. Morphological word features such as prefixes and suffixes and their base forms. For example and. Syntactic sentence features such as structure.
In combination Google has focused on a system of linguistic features that help its algorithms process natural language. Thus providing a better user experience with more accurate and relevant search results. upon a time it was common practice to optimize content purely for keywords. In the very early days one could even rank non-informational pages stuffed only with keywords. Google now processes language through a broad algorithm that seems to go far beyond keywords.