<|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 2019-12-04 04:03:34, SonyMusicIn from company sony tweeted. The tweet was "Musicians, this one is for you! #DLIBYH <mention> <hyperlink>". The most similar tweets were, 
1. On 2019-11-04 14:46:56, TwitterMusic handle of company twitter tweeted. The tweet was "Not to be dramatic, but <mention> reading your Tweets is the only thing we needed today <hyperlink>". This tweet got 43537 number of likes. 
2. On 2018-11-03 18:34:52, mikewilliamsdj handle of company williams tweeted. The tweet was "Feels great to share experiences and knowledge about music with all you guys. We can all learn from eachother❤️ <hyperlink>". This tweet got 162 number of likes. 
3. On 2018-12-08 21:49:03, Tesco handle of company tesco tweeted. The tweet was "#ImACeleb The Musical <hyperlink>". This tweet got 45 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
