<|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 2018-04-27 19:48:50, SABCNews from company sabc tweeted. The tweet was "READ| No freedom without access to public healthcare: EFF &gt; <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-03-01 13:41:32, sabcinfolib handle of company sabc tweeted. The tweet was "We got #NewBooks   <mention> #ThePresidentsKeepers  <mention> <mention> <mention> 😍📚 <hyperlink>". This tweet got 125 number of likes. 
2. On 2020-04-21 15:51:00, SABCNews handle of company sabc tweeted. The tweet was "Special broadcast tonight on FullView with <mention>, <mention> and <mention> as <mention>  will address the nation on additional economic and social relief measures as part of the government’s response to the COVID-19 pandemic.
#cyrilramaphosa <hyperlink>". This tweet got 114 number of likes. 
3. On 2019-03-28 17:11:03, SABCNews handle of company sabc tweeted. The tweet was "EFF on political status in SA <hyperlink>". This tweet got 151 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
137<|im_end|>
