DDimitris/NaiveBayesClassifier
This is a project for the lesson natural language processing. Is a simple implementation of the naive Bayes classifier to classify spam and legit emails from a given collection.
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This is a project for the lesson natural language processing. Is a simple implementation of the naive Bayes classifier to classify spam and legit emails from a given collection.
This is a simple project for the lesson information retrieval. It demonstrates some simple functions that includes how to create xml files, read from xml files and tokenization by using the lucene library. Also counts the frequency of every word and sorts the list of words in descending order to show that zipf's law is satisfied.
Given a corpus for training, we try to calculate the probability of a sentence.
This is a simple implementation of the strict 2PL algorithm with undo/redo logging. This application was implemented by Evita Mpakopoulou and Dimitris Dedousis students of the Athens University of Economics and Business.