<|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 2020-02-01 14:00:15, BBCNWT from company bbc tweeted. The tweet was "A year on from the death of our colleague Dianne Oxberry, her friend Annabel Tiffin investigates ovarian cancer in a special half-hour documentary.

The full film will be shown on Inside Out North West on BBC One at 7:30pm on Monday. <hyperlink>". The most similar tweets were, 
1. On 2018-05-04 02:02:24, CNN handle of company cnn tweeted. The tweet was "A 132-pound ovarian tumor was removed from a 38-year-old Connecticut woman <hyperlink> <hyperlink>". This tweet got 672 number of likes. 
2. On 2018-03-01 14:39:08, TargetOvarian handle of company target tweeted. The tweet was "Our brand new ovarian cancer symptoms film launches today! 
Please share to raise awareness and save lives this Ovarian Cancer Awareness Month. It's time to #TAKEOVAR 

<hyperlink> <hyperlink>". This tweet got 78 number of likes. 
3. On 2020-02-25 07:10:09, TargetOvarian handle of company target tweeted. The tweet was "One in five women diagnosed with ovarian cancer are already too ill for treatment. Governments have it in their power to change this, but we must act now.

Time is running out. Sign our call to action now.

<hyperlink> <hyperlink>". This tweet got 87 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
