<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-04-18 15:45:04, CharlesSchwab from company charles schwab tweeted. The tweet was "Schwab is excited to be named one of the best companies to work for in Texas for the 3rd year in a row by <mention>! We couldn’t do it without the support of all our Schwabbies – so thank you. <hyperlink> #SchwabLife <hyperlink>". The most similar tweets were, 
1. On 2018-11-19 17:16:08, CharlesSchwab handle of company charles schwab tweeted. The tweet was "Schwab has been named to The Dallas Morning News Top 100 Places to Work, where we finished #5 out of 30 in the Large Company category! <hyperlink> #SchwabLife #TopWorkplace <hyperlink>". This tweet got 4 number of likes. 
2. On 2019-02-04 14:31:42, CharlesSchwab handle of company charles schwab tweeted. The tweet was "<mention> That's great to hear! <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-01-09 20:54:55, CharlesSchwab handle of company charles schwab tweeted. The tweet was "<mention> Thank you for your kind words! <hyperlink>". This tweet got 1 number of likr likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
2<|im_end|>
