<|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 2019-03-21 15:02:00, BBCAMERICA from company bbc tweeted. The tweet was "You could describe Diana Bishop's (<mention>) character as powerful. Don't miss #ADiscoveryofWitches April 7 at 9pm on <mention>. <hyperlink>". The most similar tweets were, 
1. On 2018-04-02 18:35:13, bizzyems handle of company emerson tweeted. The tweet was "Diana was a fashion goddess. Looks for days <hyperlink>". This tweet got 3 number of likes. 
2. On 2019-12-12 19:45:01, Accenture handle of company accenture tweeted. The tweet was "Congratulations to our own <mention> for being recognized as one of <mention>’ World’s 100 Most Powerful Women. <hyperlink> #PowerWomen <hyperlink>". This tweet got 226 number of likes. 
3. On 2018-03-15 18:41:16, IWV handle of company independent tweeted. The tweet was ".<mention> 👏 👏👏 <mention> winner <mention>. A woman who's handled herself with dignity &amp; composure even after being ​mocked for her appearance &amp; age by <mention>'s <mention>. We #ChampionWomen like Ashleigh—​strong—unstoppable—fearless—role model. #WomensHistoryMonth #HereWeAre <hyperlink>". This tweet got 56 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
