This package can be used to classify text in categories using a naive Bayesian method.
First it can create a database using sample text to train the classification system. The database is stored in a text file with serialized data.
Then it can analyze arbitrary texts and use the database created during training to guess the category that the text belongs.
It can add new possible categories to the database without limit in number of categories.
What is the best PHP text clustering class?
Cluster tags of text
What is the best PHP text mining class?
Bayes text mining
January 2009
Number 10 |
Bayesian algorithms are often used to classify data in different categories in a way that the systems can be trained and learn from human corrections.
This class provides a solution based on Bayesian algorithms to classify text in an unlimited number of categories.
Manuel Lemos |
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Text Classification With PHP Text classification is probably the most popular real-world application of machine learning and other AI techniques... |
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