Parsing Comma Separated Values Within in a Single Column Based on a Separate Count

Hello all, I've been struggling with parsing some comma seperated values within columns imported to alteryx from a csv. The data pertains to a messaging site my company uses, and we want to know how many times different emojis are attached to messages within the messaging platfrom. So I have a table filled with data similar to the following row (ex) :

count                              

That applies to one message. Somebody must have done something good....

So what this is saying is:

• 5 people used a 'tada' and their userIDs were 1,2,3,4,5
• 1 person used a 'clap' and their userID was 1
• 2 people used a 'sparkle' and their userIDs were 1,6

How I tried to approach this project: 

• I used the 'Text to Columns' parsing tool and selected to split to rows rather than columns.
• This worked well for the 'count' and 'emojis' columns, but not the 'userID' column.
  • As I'm sure you all have figured out by now, the parsing tool created rows for each of the userIDs... not what I wanted. 

 I am wondering if there is a way/ tool in alteryx that can be used to parse the userID column so that it creates a new row with (for example) the 5 userIDs who attached a 'tada' to a particular message, rather than a different row for each listed id # in the userID column. So, ideally my final output for the above example would appear as: 

Thanks in advance for  the help!