<|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 2020-06-05 11:18:07, ClarenceHouse from company house tweeted. The tweet was "The <mention> are also helping to look after those who care for us by launching a new confidential support line for NHS and social care workers, making sure they have someone to talk to during this difficult time. 
 
Find out more here ⬇️
<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-04-22 15:22:02, GEHealthCare handle of company ge healthcare tweeted. The tweet was "For this doctor, house visits give him the opportunity to build a relationship with his #patients <hyperlink>
<mention> <hyperlink>". This tweet got 210 number of likes. 
2. On 2019-07-10 09:56:21, TheAA_UK handle of company aa tweeted. The tweet was "<mention> Some breakdowns can't be prevented <mention> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-03-23 11:20:43, waitrose handle of company waitrose tweeted. The tweet was "Together with <mention> we are working with leading charities including <mention>, <mention> and <mention> to boost support for the most vulnerable in society. <hyperlink>". This tweet got 209 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
