How To Build a Naive Bayes Classifier

How To Build a Naive Bayes Classifier

Feb 09, 2012 Some use-cases for building a classifier: Spam detection, for example you could build your own Akismet API Automatic assignment of categories to a set of items Automatic detection of the primary language (e.g. Google Translate) Sentiment analysis, which in simple terms refers to discovering if an opinion is about love or hate about a certain topic In general you can do a lot better with more specialized techniques, however the Naive Bayes classifier is general-purpose, simple to implement and good-enough for most applications. And while other algorithms give better accuracy, in general I discovered that having better data in combination with an algorithm that you can tweak does give better results for less effort. In this article I'm describing the math behind it. Don't fear the math, as this is simple enough that a high-schooler understands. And even though there are a lot of libraries out there that already do this,

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