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        "description": "**# bigram-spam-classifier <br />**\n**# A bigram approach for classifying Spam and Ham messages**<br />\n\n**# install with pip <br />**\npip install bigram-spam-classifier<br />\n\n**# import in your python file <br />**\nfrom bigram_spam_classifier import spamclassifier<br />\n\n**# create an object of the classifier and pass your message as the parameter <br />**\nclassifier = spamclassifier.classifier(\"Customer service annoncement. You have a New Years delivery waiting for you. Please call 07046744435 now to arrange delivery\")<br />\n\n**# classify the message<br />**\n\ncls = classifier.classify()<br />\nprint(cls)<br />\n\n**# If returns 1 message is a Spam, if returns 0 message is a Ham <br />**\n\n**# find the unigrams and bigrams in the message <br />**\nunigrams = classifier.inputUnigrams<br />\nprint(unigrams)<br />\nbigrams = classifier.inputBigrams<br />\nprint(bigrams)<br />\n\n**# find the bigram probabilities of Spam and Ham <br />**\nspam_probability = classifier.bigramPSpam<br />\nprint(spam_probability)<br />\nham_probability = classifier.bigramPHam<br />\nprint(ham_probability)<br />\n\n\n",
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