<|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 2019-01-13 13:30:01, MSFTBusinessUK from company microsoft tweeted. The tweet was "Discover how <mention> is revolutionising healthcare and cutting waiting times with #Microsoft #tech. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-04-27 13:15:06, Microsoft handle of company microsoft tweeted. The tweet was "To better connect data, people, and opportunities to drive productivity, <mention> is partnering with #Microsoft. 

Read the press release: <hyperlink> <hyperlink>". This tweet got 473 number of likes. 
2. On 2019-05-06 15:52:49, Microsoft handle of company microsoft tweeted. The tweet was "Our mission. #MSBuild <hyperlink>". This tweet got 243 number of likes. 
3. On 2020-10-07 17:00:03, MSCloud handle of company microsoft tweeted. The tweet was "Find out how Microsoft empowers #telecommunications organizations to achieve a future of insights, experiences, and growth: <hyperlink> <hyperlink>". This tweet got 1966 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
71<|im_end|>
