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Using Deep Learning to Automate Title Tag Optimization
A quick SEO win for most sites is to include the top ranking keyword in the title tags that are missing them.
Think about it for a minute.
If a page is already ranking for a keyword and if that keyword is not present in its title, then that page could rank higher if we were to add that term in a natural way
Now, if you work on a site with hundreds, thousands, or millions of pages, doing this manually can become time-consuming and prohibitively expensive pretty quickly!
Maybe this is something that we could teach a machine to do for us.
It could end up doing it even better and faster than a data entry team.
Let’s find out.
If you remember my article about intent classification, BERT was perfect for the task because our target output/predictions are classes/labels (the intentions).
In contrast, T5 can summarize (like I showed in my article about meta tags generation), translate, answer questions, classify (like BERT), etc.
It is a very powerful model.
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