<|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 2019-04-08 08:36:34, BBCEarth from company bbc tweeted. The tweet was "A swan at sunset on the river in Ely, UK 
#EarthCapture by <mention> <hyperlink>". The most similar tweets were, 
1. On 2019-02-15 13:07:04, NatGeo handle of company national geographic tweeted. The tweet was "Waiting for just the right moment, Your Shot photographer Jesus Garrido Moreno captured this beautiful image of young swans in the Alps <hyperlink> <hyperlink>". This tweet got 3184 number of likes. 
2. On 2020-09-04 18:30:00, Independent handle of company independent tweeted. The tweet was "Swan rescued from storm drain in New York <hyperlink>". This tweet got 212 number of likes. 
3. On 2020-09-04 19:45:00, Independent handle of company independent tweeted. The tweet was "Swan rescued from storm drain in New York <hyperlink>". This tweet got 90 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
