<|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 2019-05-18 17:41:20, bayer04_en from company bayer tweeted. The tweet was "Wonderful support in Berlin today! ❤️ <hyperlink>". The most similar tweets were, 
1. On 2020-07-04 22:13:44, bayer04_en handle of company bayer tweeted. The tweet was "Thanks for all of your support tonight! ⚫️❤️ <hyperlink>". This tweet got 604 number of likes. 
2. On 2020-01-27 01:08:36, bayer04_en handle of company bayer tweeted. The tweet was "Thanks for your continued support! 

⚫️❤️

#B04F95 | 3-0 <hyperlink>". This tweet got 207 number of likes. 
3. On 2019-05-29 15:34:13, bayer04_en handle of company bayer tweeted. The tweet was "Good luck in the <mention> final today <mention>! <hyperlink>". This tweet got 1739 number of likr 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
186<|im_end|>
