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Example code of kbariotis/documer

Informations about the package documer

Documer

Bayes algorithm implementation in PHP for auto document classification.

Concept

every document has key words e.g. Margaret Thatcher

every document has a label e.g. Politics

Suppose, that in every document there are key words all starting with an uppercase letter. We store these words in our DB end every time we need to guess a document against a particular label, we use Bayes algorithm.

Let's clear that out:

Training:

First, we tokenize the document and keep only our key words (All words starting with an uppercase letter) in an array. We store that array in our DB.

Guessing:

This is very simple. Again, we parse the document we want to be classified and create an array with the key words. Here is the pseudo code:

for every label in DB
    for every key word in document
        P(label/word) = P(word/label)P(label) / ( P(word/label)P(label) + (1 - P(word/label))(1 - P(label)) )

Usage

Install through composer

Instantiate

Pass a Storage Adapter object to the Documer Constructor.

Train

Guess

$scores will hold an array with all labels of your system and the posibbility which the document will belong to each label.

Storage Adapters Implement Documer\Storage\Adapter to create your own Storage Adapter.

All versions of documer with dependencies

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