<|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 2019-12-02 20:00:08, TwitterMovies from company twitter tweeted. The tweet was "❤️ this Tweet to receive reminders from <mention> so you don't miss a beat from Brazil’s #CCXP! 🇧🇷 Exciting things are coming 12/8... <hyperlink>". The most similar tweets were, 
1. On 2018-11-14 22:30:01, CiscoPartners handle of company cisco tweeted. The tweet was "T-30 minutes until we go live with <mention> &amp; <mention>! Tune in to learn about our exciting collab updates: <hyperlink> #CiscoPS18 <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-06-13 17:10:14, TwitterMovies handle of company twitter tweeted. The tweet was "You didn't hear it from us, but <mention> would rather check Twitter than hang with <mention> and <mention> 😬 <hyperlink>". This tweet got 3616 number of likes. 
3. On 2019-03-15 22:07:15, TwitterMovies handle of company twitter tweeted. The tweet was "We're screaming. 

<mention> (or is it <mention> 🤔) takes us #BehindTheTweets. <hyperlink>". This tweet got 6387 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
3517<|im_end|>
