<|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 2018-06-01 13:30:06, UPMC from company upmc tweeted. The tweet was "Aromatherapy can help those going through cancer treatment. <hyperlink>". The most similar tweets were, 
1. On 2019-10-28 14:12:01, CiscoUKI handle of company cisco tweeted. The tweet was "🤝 Help
🕊️ Hope
🧭 Guidance 

During #BreastCancerAwarenessMonth and every month, we’re proud to stand with the members of our Cancer Support Network: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-09-10 14:03:01, IBMResearch handle of company ibm tweeted. The tweet was "Big Data Can Reveal Why Cancer Therapies Fail via <mention> <mention> <hyperlink> <hyperlink>". This tweet got 43 number of likes. 
3. On 2018-04-17 06:06:09, hudsonwest handle of company hudson tweeted. The tweet was "So grateful to be able to offer support to <mention> along with <mention>     #honored #Help #Cancer <hyperlink>". This tweet got 171 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
