Is it possible to teach Power BI a Text mining/analysis without using any platforms.

[szakharov7723]

So far throughout my searches I always end up being offered MS Cognitive or Azure.
Is it possible to somehow teach Power BI to recognize phrases with Python/R (or any other accessible tool) or build some neural network in Power BI to recognize them.

Word Cloud is not helping much, as it extracts single words, that don't give us any vision on breakdown.
We can provide some keywords for Power BI , but not phrases, as it would be too specific and can miss on too many numbers.
For example, we can associate "gripper" with "broke" ,"broken" ,"not working" ,"repair" ,but even this would result in some numbers missing, but at least may give us a basic vision.

Essentially we use Excel as row data storage , so we can also consider this to reach the end goal.

 

[Matt Allington]

Yes, you can use both Python and R in Power BI. Increasingly there is tight integration with cognitive services too (as you have found). Excel is not a tool for semantic text manipulation.

 

[szakharov7723]

Thanks for reply
I know I can, but I am wondering if I can do that specifically for this task ? So far I didn't find any good material on how to do it.