<|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 2019-09-16 11:55:00, USAID from company usaid tweeted. The tweet was "This <mention> Week, we are celebrating women around the world who are overcoming barriers and ending hunger. 

Tune in Sept 16-20 for their stories and share your own using #HerImpact and #EndHunger. <hyperlink>". The most similar tweets were, 
1. On 2020-03-08 05:00:04, PepsiCoAMESA handle of company pepsico tweeted. The tweet was "In partnership with CARE we launched the ‘She Feeds the World’ program empowering 5 million female farmers by boosting their income and prosperity. Happy International Women’s Day! #eachforequal <hyperlink>". This tweet got 5 number of likes. 
2. On 2018-03-11 08:30:03, TheBodyShopUK handle of company the body shop tweeted. The tweet was "Today, let's celebrate the women who have guided, empowered and inspired us. Happy Mother's Day!  #ForStrongWomen <hyperlink>". This tweet got 49 number of likes. 
3. On 2018-05-28 08:03:40, PepsiCoAMESA handle of company pepsico tweeted. The tweet was "This #WorldHungerDay, let's build a future free of hunger. <hyperlink>". This tweet got 4 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
