Hi Zach

I primarily work with enterprise companies in Scandinavia. There is no great NLP for danish, swedish, norwegian and finish. Therefore, I am lacking experience working with language API’s in this regard, so far.

Thanks for you comment though!

Hi Frank

I think you can easily exceed 50 tags if you are tagging something like brands across a big dataset. However, I would consider if you should include more than 50 tags. In case you need it, you “simply” need to modify the code in the Sheet 🙂 The sheet is currently only setup to handle 50 tags per tag-set (A, B, C & D).

Hi Richard, thanks for the compliment.

It sure does save you hours or open up new opportunities if you are tagging manually (as most are) today 🙂

Hi Tom

The premis is fairly similar. Tagging, understanding and categorising words. However, using a NLP or another tool to create vectors based on words are in a totally different ballpark. The beauty of the tagging framework I outline is how powerful it is compared to the simplicity and ease of use (+ you can make it work in all languages).

Glad you liked it. Cheers, Tom.

Hi Peter, glad you enjoyed this piece.

That makes sense. Conditional logic for keyword tagging is more a method than a tool – you can use a wide variety of tools instead of Google Sheet. Could be SQL in BigQuery or even doing it in Tableau or Power BI.

Would you happen to have any further leads, guides, references, etc. on using NLP for keyword tagging?

Cheers,
Zach

Thanks!