<|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 2018-04-20 04:40:50, fpjindia from company free tweeted. The tweet was "#NanuKiJaanu Movie Review: Pale notions of redemption with lots of voluptuous Punjabi-styled humour

<mention> <mention>

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-02-09 03:19:47, fpjindia handle of company free tweeted. The tweet was ".<mention> Movie Review: <mention> shines in this revolutionary public service film

<mention> <mention> #PadManReview

<hyperlink> <hyperlink>". This tweet got 142 number of likes. 
2. On 2018-09-28 09:23:35, fpjindia handle of company free tweeted. The tweet was "#SuiDhaaga movie review: <mention>-<mention> deliver powerhouse performances in simple yet beautiful tale

#SuiDhaagaReview

<hyperlink> <hyperlink>". This tweet got 86 number of likes. 
3. On 2019-10-13 04:16:59, fpjindia handle of company free tweeted. The tweet was ".<mention> explains why web series does more justice to infamous Nanavati case

<hyperlink> <hyperlink>". This tweet got 56 number of likr 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
68<|im_end|>
