<|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 2018-03-11 21:43:33, uclagymnastics from company ucla tweeted. The tweet was "Bruins cheering on <mention> senior <mention> after her perfect 🔟 on floor. #BackThePac <hyperlink>". The most similar tweets were, 
1. On 2019-11-13 01:39:23, EmersonLotzia handle of company emerson tweeted. The tweet was "👀 bruins after that second period <hyperlink>". This tweet got 2 number of likes. 
2. On 2018-10-26 03:16:41, E15Emerson handle of company emerson tweeted. The tweet was "On Senior Night, some not-so-senior <mention> cheerleaders got the crowd pumped up at half time! #NVPrepsFB <hyperlink>". This tweet got 6 number of likes. 
3. On 2020-04-10 14:35:14, UCLAHealth handle of company ucla health tweeted. The tweet was "Special shoutout to <mention> of the <mention> for his supportive message to all MVPs including our front line workers at UCLA Health. We all can play a part in supporting our communities. Like Jared said, “Let’s team up together." #TeamLA <hyperlink>". This tweet got 343 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
