<|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 2018-08-11 07:33:12, bbcemt from company bbc tweeted. The tweet was "So sweet ♥️

A care home for people living with dementia has had a "phenomenal" response to an appeal for holiday postcards to share with their residents 👏 <hyperlink>". The most similar tweets were, 
1. On 2018-05-16 16:54:50, David_Cameron handle of company cameron tweeted. The tweet was "Great to visit <mention> - match funders of the <mention> Seasonal Appeal in support of Alzheimer's Research UK <mention>. Excellent discussion about how, with research and funding, we really can win the fight against dementia. <hyperlink>". This tweet got 210 number of likes. 
2. On 2018-07-17 15:00:03, AARP handle of company aarp tweeted. The tweet was "AARP knows caring for someone with dementia has its ups and downs. Join others in celebrating the special moments that make the caregiving experience well worth it with #HowIRemember. Posts may also appear on <hyperlink> <hyperlink>". This tweet got 65 number of likes. 
3. On 2020-04-15 12:01:50, westfieldlondon handle of company westfield tweeted. The tweet was "A huge thank you to <mention> and <mention> for helping us supply hundreds of care packages this week to local residents who are most in need ❤️ #kindnesstogether <hyperlink>". This tweet got 50 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
