<|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 2019-12-27 15:17:53, espn from company espn tweeted. The tweet was ".<mention> gifted the ⭕️hio State football team brand new headphones 🎧

(via <mention>) 
<hyperlink>". The most similar tweets were, 
1. On 2018-08-13 01:47:47, NoLayingUp handle of company no tweeted. The tweet was "Flipping through highlights from today. Put headphones on for this:
<hyperlink>". This tweet got 1452 number of likes. 
2. On 2020-08-05 20:02:13, theresnosignall handle of company no tweeted. The tweet was "in public:                 in headphones: <hyperlink>". This tweet got 935 number of likes. 
3. On 2019-02-18 01:52:42, SamsungMobileSA handle of company samsung tweeted. The tweet was "Remember to enter &amp; celebrate 10 years of innovation with us during #10DaysofGalaxy. To enter, tweet &amp; tell us why you are excited about #Unpacked &amp; tag <mention>. You could be one of 250 lucky people to win a set of #UFlex Headphones! 

Ends 20 Feb 3:30pm. Ts &amp; Cs apply. <hyperlink>". This tweet got 283 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
