Post by account_disabled on Jan 10, 2024 3:17:26 GMT
Semantic Indexing to try to better understand what the user is asking for. To do this, it first analyzes the indexed documents by connecting terms around a concept and then establishes another relationship between the questions users ask and the concepts that are indexed. One of the best examples of application of this technology is Google's Knowledge Graph: based on the search term entered, Google identifies an object, relates it to other objects and returns the results directly in the SERP. The "traditional" approach (definition of concepts, search for keywords and positioning in relevant areas of the document)
is absolutely valid and dogmatic, but the one seen so far indicates that search engines Malaysia Phone Number List increasingly tend towards a semantic knowledge of the research we do , going beyond simply looking for literal concepts in titles, descriptions and images. This means that practices such as keyword stuffing (deliberately repeating keywords in the text) or artificiality in the selection of titles, contents and descriptions will be increasingly penalized in favor of natural and "more human" contents. But how does this concept apply to keyword research? To interpret the meaning of
a keyword Google uses two methods . The first is quantitative , i.e. are positioned for the same keyword from which the most common words found in the texts are extracted (standard approach). The second method is qualitative , and respects the LSI principles seen so far by focusing on the semantic and lexical relationships between words or expressions. Research through the interaction of these two methods creates classifications and categories . It is an interaction between a taxonomy of coinciding terms and a taxonomy of semantic fields and lexical families. NB: We call a semantic field a group of words that are linked by meaning and belong to the same grammatical category (e.g. semantic field of transport: motorbike, car, truck, bicycle, etc.).
is absolutely valid and dogmatic, but the one seen so far indicates that search engines Malaysia Phone Number List increasingly tend towards a semantic knowledge of the research we do , going beyond simply looking for literal concepts in titles, descriptions and images. This means that practices such as keyword stuffing (deliberately repeating keywords in the text) or artificiality in the selection of titles, contents and descriptions will be increasingly penalized in favor of natural and "more human" contents. But how does this concept apply to keyword research? To interpret the meaning of
a keyword Google uses two methods . The first is quantitative , i.e. are positioned for the same keyword from which the most common words found in the texts are extracted (standard approach). The second method is qualitative , and respects the LSI principles seen so far by focusing on the semantic and lexical relationships between words or expressions. Research through the interaction of these two methods creates classifications and categories . It is an interaction between a taxonomy of coinciding terms and a taxonomy of semantic fields and lexical families. NB: We call a semantic field a group of words that are linked by meaning and belong to the same grammatical category (e.g. semantic field of transport: motorbike, car, truck, bicycle, etc.).