How do I look inside the NLTK classifier train method

Question

I've been looking at Laurent Luce's' blog on sentiment analysis. Unfortunately I have not been able to follow his blog so I cannot ask him a question directly. Here is the link to the blog: http://www.laurentluce.com/posts/twitter-sentiment-analysis-using-python-and-nltk/

Pretty much everything works nicely. However I cannot figure out how to get this part to work - text below is pasted from the link. My question is how do I look inside the classifier train method? It will help my understanding if I could do that.

"Let’s take a look inside the classifier train method in the source code of the NLTK library. ‘label_probdist’ is the prior probability of each label and ‘feature_probdist’ is the feature/value probability dictionary. Those two probability objects are used to create the classifier."

def train(labeled_featuresets, estimator=ELEProbDist):
...
# Create the P(label) distribution
label_probdist = estimator(label_freqdist)
...
# Create the P(fval|label, fname) distribution
feature_probdist = {}
...
return NaiveBayesClassifier(label_probdist, feature_probdist)

Will M. Will M. · Accepted Answer · 2018-05-21T18:43:03

NLTK is open source. You can find the source-code here. Github has solid search functionality, so you should be able to find whatever it is you need using that. Specifically, the naive bayes classifier is here and you can see the train method for it in that file.

How do I look inside the NLTK classifier train method

1 Answers