<|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 2018-01-25 08:19:31, UsaidM16 from company usaid tweeted. The tweet was "Gotta say, the position of the movie title on the poster makes for an awkward image. <hyperlink>". The most similar tweets were, 
1. On 2019-05-16 04:29:14, ericpalicki handle of company aa tweeted. The tweet was "<mention> I mean...I have a soft spot for that movie. <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-03-15 19:43:28, Rtreatwilliams handle of company williams tweeted. The tweet was "Film class <hyperlink>". This tweet got 146 number of likes. 
3. On 2020-12-31 16:57:31, ericpalicki handle of company aa tweeted. The tweet was "Movie that I’ve seen the most in theaters: <hyperlink>". This tweet got 0 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
