<|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 2018-11-10 15:43:16, tamhussein from company tam tweeted. The tweet was "Love this book- I can relate to this book having grown up in its förort- <mention> <mention> <mention> <hyperlink>". The most similar tweets were, 
1. On 2020-02-27 20:59:37, ericpalicki handle of company aa tweeted. The tweet was "So many books! <mention> U13 <hyperlink>". This tweet got 54 number of likes. 
2. On 2018-10-16 04:07:39, METROFMSA handle of company sabc tweeted. The tweet was "[IN STUDIO] With The Beautiful <mention> Talking About,Food,Business and her new book “The lazy Makoti’s Guide To The Kitchen” #whatareyoupacking #FreshbreakFast <hyperlink>". This tweet got 163 number of likes. 
3. On 2018-09-05 17:34:12, gucci1017 handle of company gucci tweeted. The tweet was "Get my book ASAP ! <hyperlink>". This tweet got 2323 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
