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A bigram approach for classifying Spam and Ham messages

Project description

# bigram-spam-classifier
# A bigram approach for classifying Spam and Ham messages

# install with pip
pip install bigram-spam-classifier

# import in your python file
from bigram_spam_classifier import spamclassifier

# create an object of the classifier and pass your message as the parameter
classifier = spamclassifier.classifier("Customer service annoncement. You have a New Years delivery waiting for you. Please call 07046744435 now to arrange delivery")

# classify the message

cls = classifier.classify()
print(cls)

# If returns 1 message is a Spam, if returns 0 message is a Ham

# find the unigrams and bigrams in the message
unigrams = classifier.inputUnigrams
print(unigrams)
bigrams = classifier.inputBigrams
print(bigrams)

# find the bigram probabilities of Spam and Ham
spam_probability = classifier.bigramPSpam
print(spam_probability)
ham_probability = classifier.bigramPHam
print(ham_probability)

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