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Example code of permafrost-dev/text-classifier

Informations about the package text-classifier

text-classifier

Performs basic text classification using algorithms such as Naive-Bayes.

Installation:

You may install text-classifier using composer:

composer require permafrost-dev/text-classifier

Note: The higher-quality and more complete training data used to train the model, the more accurate the classifications will be.

Example - Email Address Classification

A common use-case for classifying text is to determine whether or not an email is spam or not spam. While that's beyond the scope of this example, we can try to determine if a given email address is spam or not spam based on its features. Note: all email addresses used for training/examples were randomly generated. If your email address somehow ended up within the sample data, please contact [email protected] and it will be promptly removed.

Resulting output:

This method can easily be applied to other areas for spam checking, such as classifiying user-provided domain names.

Example - Sentiment Analysis

See examples/sentiment.php for a working demo.

Resulting output:

With more robust pre-processing and tokenizing, these methods can be applied to other data, such as determining whether or not an email message is likely a spam message, whether a given article is of interest to a user based on basic preferences, and so on.

This does only go so far, however - machine learning is recommended when highly-accurate results are needed.

All versions of text-classifier with dependencies

PHP Build Version
Package Version
Requires php Version ^7.3|^8.0
ext-json Version *
skyeng/php-lemmatizer Version ^1.0
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