<|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 2020-11-03 14:53:47, zenith from company zenith tweeted. The tweet was "Our latest Business Intelligence report takes a deep dive into the video entertainment category, looking at adspend, business and consumer trends. Read the report here: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-11-06 15:30:01, ciscomiddleeast handle of company cisco tweeted. The tweet was "Cisco named a leader in <mention> MarketScape on enterprise videoconferencing. <hyperlink> #videoconferencing. <hyperlink>". This tweet got 1 number of likes. 
2. On 2018-05-13 21:00:01, CiscoPartners handle of company cisco tweeted. The tweet was "Cha-ching! Buyers invest big 💵 into #digital video ad spend. See what’s driving them from TV to digital: <hyperlink> #MktgVelocity <mention> <hyperlink>". This tweet got 3 number of likes. 
3. On 2019-01-29 21:35:01, MSFT_Business handle of company microsoft tweeted. The tweet was "Learn 3 tips to better #VideoMarketing so you can start producing videos more quickly and skillfully: <hyperlink> #ContentMarketing <hyperlink>". This tweet got 62 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
