Hi all.
I’ve been using Bert models against a dataset of sms messages and the results vary wildly dependent on what I use as my search criteria. I think that models that are more textspeak specific would generate better results and would take into account the abbreviations, acronyms, poor grammar, etc.
As I follow up I’m looking at the best way of checking accuracy and comparison against different models beyond manually checking results.
Any advice would be massively appreciated 
Thanks