Post by amirmukaddas on Mar 12, 2024 0:32:20 GMT -6
The associative field is the set of relationships of meaning, of grammatical paradigm, of phonological and morphological structure that each word has with others in the mental lexicon and in the use of a language ( De Mauro ). seo association field The difference between a semantic field and an associative field is that while the former concerns terms belonging to the same grammatical class and attributable to a single topic, the associative field is a set of words also belonging to different grammatical classes , similar in meaning or form. and in sound ( Mondadori education ). When you do keyword research , you usually tend to look for terms that are close to each other because they are researched in the same field , therefore related. For example, if I deal with natural medicine and homeopathy , I can say that the term arnica is correlated with the terms contraindications , properties , anti-inflammatory , tablets , ointment , price etc.
These terms that I extracted from Semrush can be very useful to me in writing one or more articles, because they guide me towards the choice of topics to deal with to increase text relevance with respect to the keyword "arnica". Among all the correlations reported by the software, you will notice an “ arnica in pregnancy “. When you encounter a correlation of this type you have to be very careful because we are always talking Denmark Telegram Number Data about arnica , but at the intersection between two gigantic areas of interest: natural medicine and mothers . Semantic vector between different fields When you sense that you are at a junction of this type, you can try to launch a semantic vector from one macro area to another. The precondition is that on websites that deal with the topic of new mothers or pregnant women , the term "arnica" is appropriately treated.
After an analysis on (very) different SERPs, you may realize that the topic Arnica is very frequent on websites of a very different nature , but interesting for the same people, namely natural medicine and mothers. At this point the suggestion is to try to widen the area of intersection between the two areas as much as possible, appropriately developing the terms and topics related to pregnancy within an article intended for a blog on homeopathy or vice versa, developing all the topics related to natural medicine in an article that will end up published in a blog for new mothers. The goal is always arnica (let's not forget it) and we can reach it by building a bridge between two clouds of different documents.
These terms that I extracted from Semrush can be very useful to me in writing one or more articles, because they guide me towards the choice of topics to deal with to increase text relevance with respect to the keyword "arnica". Among all the correlations reported by the software, you will notice an “ arnica in pregnancy “. When you encounter a correlation of this type you have to be very careful because we are always talking Denmark Telegram Number Data about arnica , but at the intersection between two gigantic areas of interest: natural medicine and mothers . Semantic vector between different fields When you sense that you are at a junction of this type, you can try to launch a semantic vector from one macro area to another. The precondition is that on websites that deal with the topic of new mothers or pregnant women , the term "arnica" is appropriately treated.
After an analysis on (very) different SERPs, you may realize that the topic Arnica is very frequent on websites of a very different nature , but interesting for the same people, namely natural medicine and mothers. At this point the suggestion is to try to widen the area of intersection between the two areas as much as possible, appropriately developing the terms and topics related to pregnancy within an article intended for a blog on homeopathy or vice versa, developing all the topics related to natural medicine in an article that will end up published in a blog for new mothers. The goal is always arnica (let's not forget it) and we can reach it by building a bridge between two clouds of different documents.