Twitter will strip all non-alphanumerical (NAM) symbols from terms before running a search. Therefore if you type "@apple" to find conversation on your brand, it will technically be searching for "apple" which will pick up the term alone, "#apple", "$apple" and so on. This could help reduce search set up time and also a better understanding of why there is noise in a search.
Socialgist (News, reviews, blogs) on the other hand, struggles with NAM such as "website.com". I'm still trying to understand how to get past this e.g. would "website com"~2 work? But hopefully product can fill in the gaps when putting the copy together.
My suggestion is a pop-up box for when one is typed in which tells the user what that term will pick up so they can make an informed decision on whether to add it.
Are there any other limitations around NAMs?
Guest
Thanks Rich. A bit of clarification:
This is incorrect:
Twitter will strip all non-alphanumerical (NAM) symbols from terms before running a search. Therefore if you type "@apple" to find conversation on your brand, it will technically be searching for "apple" which will pick up the term alone, "#apple", "$apple" and so on. This could help reduce search set up time and also a better understanding of why there is noise in a search.
If you type in @apple or #apple, you will only collect mentions of @apple or #apple from Twitter. If however you type in the single keyword apple, you will also collect mentions of @apple or #apple, as well as posts where the term apple appears in a url that's included in that post. This applies to Twitter data only
Hope that makes sense.
Cheers
