<|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 2019-09-23 15:56:41, bbcrivercity from company bbc tweeted. The tweet was ""I just want to thank everybody for their support over the years!" ❤️ 

#RiverCity <hyperlink>". The most similar tweets were, 
1. On 2020-04-25 11:37:55, thisisWurlD handle of company free tweeted. The tweet was "Put me under your river 😩😂🦋 <mention> 🙌🏾🙌🏾🙌🏾 #LoveNobody 🚀🚀🚀🕊🕊 <hyperlink>". This tweet got 179 number of likes. 
2. On 2020-05-01 07:06:00, PepsiCoUKTrade handle of company pepsico tweeted. The tweet was "We’d like to say a big thank you to our Field Sales team who are truly making a difference during these times. From supporting the NHS and the local community, to helping our customers – they really are the #dreamteam 👏

#PepsiCoProud <hyperlink>". This tweet got 4 number of likes. 
3. On 2019-11-29 02:09:10, IndependentNGR handle of company independent tweeted. The tweet was "Second Rivers Tour Tees Off December 19 <hyperlink> <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
