<|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 2018-02-19 19:05:47, BBCScotlandNews from company bbc tweeted. The tweet was "A listed tenement building in the Gorbals area of Glasgow which dates back to 1900 is being given a new lease of life. <hyperlink>". The most similar tweets were, 
1. On 2019-12-06 12:45:00, Independent handle of company independent tweeted. The tweet was "Cooling towers that stood for 50 years in Ironbridge spectacularly demolished to make way for new homes <hyperlink>". This tweet got 78 number of likes. 
2. On 2019-08-15 15:30:39, CBCNews handle of company cbc tweeted. The tweet was "This is what a neighbourhood in London, Ont., looks like this morning after seven homes were destroyed in a gas explosion. <hyperlink> <hyperlink>". This tweet got 52 number of likes. 
3. On 2018-05-02 21:05:05, UnitedRentals handle of company united rentals tweeted. The tweet was "Modern home and business-owners are becoming increasingly interested in new building trends such as resiliency and #sustainability. Read about these #construction trends and few others via <mention> <hyperlink> <hyperlink>". This tweet got 0 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
