<|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 2019-02-14 18:04:29, BofA_Tips from company bank of america tweeted. The tweet was "It can feel like Valentine’s Day is 50% romance, 50% watching your wallet go up in flames. Mend your savings with these tips from #BetterMoneyHabits  🔥 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-02-13 20:38:04, CharlesSchwab handle of company charles schwab tweeted. The tweet was "#ValentinesDay tip: Make a date to talk about money and keep finance from ruining your romance. Here's how: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
2. On 2018-02-12 08:00:00, MastercardEU handle of company mastercard tweeted. The tweet was "Globally, you don't hurry #love as the majority (30%) of #Valentine’s purchases are made on the 11th February #LoveIndex <hyperlink> <hyperlink>". This tweet got 381 number of likes. 
3. On 2019-02-06 23:43:01, AAASouthJersey handle of company aaa tweeted. The tweet was "It's not #ValentinesDay without flowers! Save 25% with <mention> &amp; #AAADiscounts thru 2/14/19 at <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
