<|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 2019-11-07 17:00:58, WalkingDead_AMC from company amc tweeted. The tweet was "The title of this week's episode is... <hyperlink>". The most similar tweets were, 
1. On 2019-11-14 19:40:23, WalkingDead_AMC handle of company amc tweeted. The tweet was "This week’s episode is an eye-opener. 👀 <hyperlink>". This tweet got 2370 number of likes. 
2. On 2018-04-30 22:30:11, WalkingDead_AMC handle of company amc tweeted. The tweet was "Season 9, Day 1. #TWD #TWDFamily <hyperlink>". This tweet got 17552 number of likes. 
3. On 2020-03-16 01:00:37, WalkingDead_AMC handle of company amc tweeted. The tweet was "RETWEET if you're watching the new episode of #TWD starting right now. <hyperlink>". This tweet got 1274 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
1621<|im_end|>
