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
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