On Saturday, January 27, 2018 at 2:45:30 PM UTC-8, Terry Reedy wrote: > On 1/27/2018 4:05 PM, qrious wrote: > > I am attempting to understand how scikit learn works for sentiment analysis > > and came across this blog post: > > > > https://marcobonzanini.wordpress.com/2015/01/19/sentiment-analysis-with-python-and-scikit-learn > > > > The corresponding code is at this location: > > > > https://gist.github.com/bonzanini/c9248a239bbab0e0d42e > > > > My question is while trying to predict, why does the curr_class in Line 44 > > of the code need a classification (pos or neg) for the test data? After > > all, am I not trying to predict it? Without any initial value of > > curr_class, the program has a run time error. > > In order for the 'bot' to classify new samples, by learning the > difference between positive and negative samples, it needs to be trained > on existing samples that are 'correctly' classified. > > > -- > Terry Jan Reedy
The training samples already do that. I think Dan's reply below makes sense. -- https://mail.python.org/mailman/listinfo/python-list
