<|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 2019-11-25 06:55:22, USAIDSouthSudan from company usaid tweeted. The tweet was "#SouthSudan:  Our latest newsletter is out! See how we're helping #SouthSudanese #farmers regain productivity, delivering health services including #psychosocial support for people exposed to traumatic events, and more. Sign up here: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-03-24 13:52:48, METROFMSA handle of company sabc tweeted. The tweet was "Caption this story #TheKingsSuit <mention> <hyperlink>". This tweet got 205 number of likes. 
2. On 2019-12-20 19:31:49, SouthMetroPIO handle of company metro tweeted. The tweet was "We want to thank our brothers and sisters from <mention>, <mention>, <mention>, <mention>, <mention>, Action Care, and Northglenn Ambulance for supporting and helping to cover our district today. <hyperlink>". This tweet got 227 number of likes. 
3. On 2018-08-22 10:43:24, METROFMSA handle of company sabc tweeted. The tweet was "Our phenomenal news reader <mention> #LTP <hyperlink>". This tweet got 125 number of 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
