Naive Bayes SMS spam classification example

Naive Bayes classifier has been developed using the SMS spam collection data available at http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/. In this chapter, various techniques available in NLP techniques have been discussed to preprocess prior to build the Naive Bayes model:

>>> import csv 
 
>>> smsdata = open('SMSSpamCollection.txt','r') 
>>> csv_reader = csv.reader(smsdata,delimiter='\t') 

The following sys package lines code can be used in case of any utf-8 errors encountered while using older versions of Python, or else does not necessary with latest version of Python 3.6:

>>> import sys 
>>> reload (sys) 
>>> sys.setdefaultendocing('utf-8') 

Normal coding starts from here as usual:

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