How do we interpret the output of the Naive Bayes' classifier in e1071 package?

I am executing the code given at Sentiment analysis with machine learning in R.

While executing this code, I am trying to examine the contents of the object 'classifier'. The conditional probability for 'about' was given in the following format -

                                 about
as.factor(tweets[1:10, 2])  [,1]      [,2]
negative  0.0 0.0000000
positive  0.2 0.4472136


From the formula of Naive Bayes, I could figure out that the first column is probability of getting 'about' with 'negative' and 'positive' sentiment respectively. But what does the second column mean?