Is it ok to have an accuracy of 65% and a sensitivity of 90% with Naive Bayes for sentiment analysis?

I am creating a sentiment analysis model using Naive Bayes. When I test the model, I get an average accuracy of 65%; however, the sensitivity of the model is much higher, 90%.

So, I am wondering if there are methods to fixing this data; or, since the sensitivity is very high, then would it be ok to move forward with the model?