<|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 2018-08-18 09:30:00, Specsavers from company specsavers tweeted. The tweet was "Check out the teaser for this week's <mention> TV book club featuring author <mention> reading an extract from his new book 'A Necessary Evil'. Tune in this Sunday on <mention> at 8.30am #ReadWithSpecsavers <hyperlink>". The most similar tweets were, 
1. On 2020-11-17 22:16:36, SimonHarrisTD handle of company td tweeted. The tweet was "Enjoying <mention> books. Looking forward to listening to my latest download - the new <mention> book, just out today <hyperlink>". This tweet got 272 number of likes. 
2. On 2020-10-28 22:06:07, ericpalicki handle of company aa tweeted. The tweet was "<mention> <mention> <mention> I did! I bought that book! <hyperlink>". This tweet got 2 number of likes. 
3. On 2019-07-02 19:55:33, AmazonStudios handle of company amazon tweeted. The tweet was "Planning some light reading for the long weekend <mention> <hyperlink>". This tweet got 550 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
