<|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 2020-01-19 03:45:00, BBCAMERICA from company bbc tweeted. The tweet was "Come home to North America, next week on a brand new #SevenWorldsOnePlanet.
Saturday, January 25 at 9pm on <mention>. <hyperlink>". The most similar tweets were, 
1. On 2018-03-24 07:00:23, wwf_uk handle of company wwf tweeted. The tweet was "#EarthHour is sweeping across the globe today! We'll be tweeting all day, building up to #EarthHourUK at 8:30pm. 🌏 Join the global movement by switching off &amp; making a #PromiseForThePlanet: <hyperlink> <hyperlink>". This tweet got 243 number of likes. 
2. On 2019-01-28 18:05:01, HomeFreeGuys handle of company free tweeted. The tweet was "Hey #CANADA, we are heading up north in just a couple weeks as part of the final run of dates of our TIMELESS World Tour. Thank you <mention> for SELLING OUT! 💥 Few tix left for our other shows...come join us! <hyperlink>". This tweet got 93 number of likes. 
3. On 2020-10-10 10:02:08, ASTROGaming handle of company astro tweeted. The tweet was "The EU North event of the #T7OnlineChallenge has begun! 

Catch the action // <hyperlink> <hyperlink>". This tweet got 56 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
