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Semantic filtering based on negative keyword lists

Posted: Sun Jan 19, 2025 5:53 am
by jakariabd@
Informational and commercial phrases have their own marker words. If you minus phrases in the core, for example, by informational markers, then commercial phrases will remain. Of course, you will need to clean up the core manually, but the bulk of irrelevant phrases will go away.

List of minus phrases to exclude informational semantics (that is, after minus, commercial phrases will remain):

This is not an exhaustive list - each topic will have its own words.

It is convenient to use the KeyCollector program to filter semantics. Load the original semantics, click "Stop words", load words from the list above and click "Mark phrases in the table".

How to distinguish an information request from a commercial one

Delete the marked information phrases or put them namibia phone number material in a separate group. The remaining phrases will be mostly commercial queries, but you still need to go through the list and clean it up.

It is more difficult to exclude commercial semantics than informational ones. At the first stage, remove purely commercial queries from the list. To do this, set the following words in the KeyCollector stop-word list:

How to distinguish an information request from a commercial one

Delete these phrases or move them to another group. But the list will still contain a lot of phrases like "decoration with fresh flowers". They cannot be classified as purely informational.

The solution is to select directly the information queries from the list by marker words. To do this, check all the words in the table of source phrases, then specify the information markers in the list of stop words and click the "Uncheck phrases in the table" button.

How to distinguish an information request from a commercial one

The table will still contain phrases that are not informational. They should be deleted or moved to another group.

The disadvantage of separating semantics using negative keywords is that it is impossible to take into account all negative keywords. You will still have to clean up the list manually.

Method 3. Automatic semantic filtering
PromoPult has a functionality that allows you to divide semantics into commercial and informational in one click.

What is needed for this:

register/log in on the website promopult.ru and add a link to the website;
launch the SEO module - the system will immediately collect the keys for which your site occupies positions within the top 50 of Yandex and/or Google;
click on the “show filter” link in the header of the table with keywords;
select the desired filter - "Commercial" or "Informational".