<|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 2018-11-26 12:39:37, BBCSportScot from company bbc tweeted. The tweet was "Speaking to BBC Scotland,  <mention> talks about his first year at Preston, his inspiration to prove himself, and the positivity about his future at Deepdale.

👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-12-17 08:06:00, TourofBritain handle of company bell tweeted. The tweet was "Congratulations to <mention> on being named the BBC Sports Personality of Year 🏆

Here we look back at his 9⃣ <mention> Tour of Britain 🇬🇧 appearances to date ➡ <hyperlink>

#OVOToB <hyperlink>". This tweet got 107 number of likes. 
2. On 2020-10-04 23:27:06, stadiumastro handle of company astro tweeted. The tweet was "Our eyes on the ground in England, <mention> spoke to Andy Robertson after Liverpool’s shocking defeat to Aston Villa

#StadiumAstro <hyperlink>". This tweet got 297 number of likes. 
3. On 2019-11-18 16:04:00, robbiewilliams handle of company williams tweeted. The tweet was "Was great to perform in Manchester last night for <mention> x <hyperlink>". This tweet got 1099 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
