<|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 2018-12-14 10:44:12, FinancialXpress from company express tweeted. The tweet was "#Congress’ #Rafale noise was distraction from #AgustaWestlandScam, says <mention> 
<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-06-05 15:05:01, FedExChamp handle of company fedex tweeted. The tweet was "This sound bite from <mention> last week at Memorial is 🔥🔥🔥 <hyperlink>". This tweet got 265 number of likes. 
2. On 2019-07-11 14:54:45, SABCNews handle of company sabc tweeted. The tweet was "EFF MPs disrupt Gordhan during budget vote <hyperlink>". This tweet got 1170 number of likes. 
3. On 2019-10-21 02:07:00, WalkingDead_AMC handle of company amc tweeted. The tweet was "WE ARE SCREAMING. #TWD <hyperlink>". This tweet got 2685 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
