<|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 2019-11-30 06:03:56, USAID_Pakistan from company usaid tweeted. The tweet was "Less than 40% of women who experience GBV seek help. USAID works worldwide through various projects to #EndGBV and prevent future abuse by addressing root causes, improving prevention and protection services, and increasing awareness. #16Days <hyperlink>". The most similar tweets were, 
1. On 2020-04-15 12:13:00, HSBC_UAE handle of company hsbc tweeted. The tweet was "We’re here to support our communities. HSBC’s global US$25 million COVID-19 donation fund will help our charity partners deliver projects to help an estimated 80,000 vulnerable people in 7 nations in the Middle East and North Africa. Find out more: <hyperlink> <hyperlink>". This tweet got 44 number of likes. 
2. On 2020-04-06 13:21:05, USAA handle of company usaa tweeted. The tweet was "We understand there may be instances, because of the impacts of COVID-19, that members may find themselves facing financial difficulties. Learn how USAA can help at <hyperlink> <hyperlink>". This tweet got 20 number of likes. 
3. On 2020-03-06 13:26:57, SABCNews handle of company sabc tweeted. The tweet was "SA man who tested positive for coronavirus has come into contact with 18 people 
#coronavirus <hyperlink>". This tweet got 668 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
