<|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 2018-10-24 13:29:18, BofA_News from company bank of america tweeted. The tweet was "Through networking and mentorship, women can rise to be strong leaders. Hear more from <mention>, CEO of <mention> and <mention>, at our Global Women’s Conference this week. <hyperlink>". The most similar tweets were, 
1. On 2020-03-08 23:34:03, PepsiCoJOBS handle of company pepsico tweeted. The tweet was "We can’t become a faster, stronger, and better company without the vital contributions of #women. Take a look at some of the ways we’re working to empower women in the workplace and beyond. #InternationalWomensDay <hyperlink>". This tweet got 8 number of likes. 
2. On 2018-03-13 00:30:01, Cisco handle of company cisco tweeted. The tweet was "Women at Cisco are making an impact in the tech world &amp; beyond. See more: <hyperlink>  #WomensHistoryMonth #WomenInTech <hyperlink>". This tweet got 233 number of likes. 
3. On 2018-03-08 15:30:01, WesternUnion handle of company western union tweeted. The tweet was "#Empower women around the world! Today is International Women’s Day! The time is #RightNow to celebrate the achievements of millions of women who make the world a better place. Do you know one of them? Tell your story using #TogetherWeSucceed #IWD2018 <hyperlink>". This tweet got 336 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
