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Natural Language Processing with /swɪft/ Ayaka Nonaka @ayanonagon

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SPAM spam sp@M $PAM spam sp@m SP4M $p@m sp@M SPAM spam sp@M $PAM spam sp@m SP4M $p@m sp@M

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Spam or Ham?

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URGENT - HELP ME DISTRIBUTE MY $15 MILLION TO CHARITY IN SUMMARY:- I have 15,000,000.00 (fifteen million) U.S. Dollars and I want you to assist me in distributing the money to charity organizations. I agree to reward you with part of the money for your assistance, kindness and participation in this Godly project. This mail might come to you as a surprise and the temptation to ignore it as unserious could come into your mind but please consider it a divine wish and accept it with a deep sense of humility.

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See you at Natural Language Processing in Swift with Ayaka Nonaka of Venmo Swift Language User Group (San Francisco + Silicon Valley) Invite 1 friend Simply forward this email to a friend and have them join the Meetup.

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Forming a new startup and need an iOS developer to partner with and join me on this new, exciting venture. This startup will be the next “big thing” in social media, creating a new way for users to connect with one another, essentially creating its own niche among facebook, twitter and foursquare. If interested please contact the information below. XXXX XXXX [email protected] XXX XXX XXXX

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Naive Bayes Classifier

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Bayes’ theorem

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Probability of – & ⷁ ?

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Probability of – & ⷁ ? = Probability of – × Probability of ⷁ given –

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Probability of – & ⷁ ? = Probability of – = 1/4 × Probability of ⷁ given –

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Probability of – & ⷁ ? = Probability of – = 1/4 × Probability of ⷁ given – = 1/13

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Probability of – & ⷁ ? = Probability of – = 1/4 × Probability of ⷁ given – = 1/13 = 1/52

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam What’s the probability that an email is spam given that it contains the word SODIUM?

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam What’s the probability that an email is spam given that it contains the word SODIUM?

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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Throw in another word, .

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Naive Bayes Classifier

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Naive?

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Assume conditional independence!

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Assume conditional independence and are conditionally independent.

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Assume conditional independence and are conditionally independent.

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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• 30 emails of a total of 50 are spam • 20 out of the total 50 contain the word SODIUM • 15 of the emails that contain the word SODIUM are spam • 15 out of the total 50 contain the word CHOLESTEROL • 10 of the emails that contain the word CHOLESTEROL are spam

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vs.

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NSLinguisticTagger

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NSLinguisticTagger • Lemmatization • Part of speech tagging • Language detection

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Swift Playgrounds

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bit.ly/swiftnbc (Swift 1.2)

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NLTK nltk.org

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Parsimmon github.com/ayanonagon/ Parsimmon

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??? @ayanonagon

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